{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T17:02:43Z","timestamp":1747069363641,"version":"3.37.3"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2019,12,21]],"date-time":"2019-12-21T00:00:00Z","timestamp":1576886400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,12,21]],"date-time":"2019-12-21T00:00:00Z","timestamp":1576886400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61673376"],"award-info":[{"award-number":["61673376"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Real-Time Image Proc"],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1007\/s11554-019-00931-5","type":"journal-article","created":{"date-parts":[[2019,12,21]],"date-time":"2019-12-21T17:02:32Z","timestamp":1576947752000},"page":"1703-1714","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A novel hardware-oriented ultra-high-speed object detection algorithm based on convolutional neural network"],"prefix":"10.1007","volume":"17","author":[{"given":"Jianquan","family":"Li","sequence":"first","affiliation":[]},{"given":"Xianlei","family":"Long","sequence":"additional","affiliation":[]},{"given":"Shenhua","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Yiming","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Qingyi","family":"Gu","sequence":"additional","affiliation":[]},{"family":"De Xu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,12,21]]},"reference":[{"key":"931_CR1","doi-asserted-by":"crossref","unstructured":"Sharma, A., Shimasaki, K., Gu, Q., Chen, J., Aoyama, T., Takaki, T., Ishii, I., Tamura, K., Tajima, K.: Super high-speed vision platform for processing 1024$$\\times$$ 1024 images in real time at 12500 fps. IEEE\/SICE International Symposium on system integration (SII), 544\u2013549 (2016)","DOI":"10.1109\/SII.2016.7844055"},{"issue":"1","key":"931_CR2","doi-asserted-by":"publisher","first-page":"13010","DOI":"10.1117\/1.JEI.21.1.013010","volume":"21","author":"I Ishii","year":"2012","unstructured":"Ishii, I., Tatebe, T., Gu, Q., Takaki, T.: Color-histogram-based Tracking at 2000 fps. J. Electron. Imaging 21(1), 13010 (2012)","journal-title":"J. Electron. Imaging"},{"issue":"4","key":"931_CR3","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1007\/s11554-012-0255-8","volume":"8","author":"I Ishii","year":"2013","unstructured":"Ishii, I., Ichida, T., Gu, Q., Takaki, T.: 500-fps face tracking system. J. Real-Time Image Process. 8(4), 379\u2013388 (2013)","journal-title":"J. Real-Time Image Process."},{"issue":"6","key":"931_CR4","doi-asserted-by":"publisher","first-page":"1051","DOI":"10.1109\/TCSVT.2014.2360030","volume":"25","author":"X Ma","year":"2015","unstructured":"Ma, X., Najjar, W.A., Roy-Chowdhury, A.K.: Evaluation and acceleration of high-throughput fixed-point object detection on FPGAs. IEEE Trans. Circuits Syst. Video Technol. 25(6), 1051\u20131062 (2015)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"931_CR5","doi-asserted-by":"crossref","unstructured":"Nakahara, H., Yonekawa, H., Fujii, T., Sato, S.: A lightweight YOLOv2: A binarized CNN with a parallel support vector regression for an FPGA. Proceedings of the 2018 ACM\/SIGDA International Symposium on field-programmable gate arrays, 31\u201340 (2018)","DOI":"10.1145\/3174243.3174266"},{"issue":"1","key":"931_CR6","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1109\/JSSC.2016.2616357","volume":"52","author":"Y-H Chen","year":"2017","unstructured":"Chen, Y.-H., Krishna, T., Emer, J.S., Sze, V.: Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks. IEEE J. Solid-State Circuits 52(1), 127\u2013138 (2017)","journal-title":"IEEE J. Solid-State Circuits"},{"key":"931_CR7","unstructured":"Shen, J., Huang, Y., Wang, Z., Qiao, Y., Wen, M., Zhang, C.: Proceedings of the 2018 ACM\/SIGDA International Symposium on field-programmable gate arrays, 97\u2013106 (2018)"},{"issue":"2","key":"931_CR8","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vis."},{"key":"931_CR9","doi-asserted-by":"crossref","unstructured":"Bay, H., Tuytelaars, T., Van Gool L.: Surf: Speeded up robust features. Eur. Conf. Comput. Vis. 404\u2013417 (2006)","DOI":"10.1007\/11744023_32"},{"key":"931_CR10","unstructured":"Dalal, N., Triggs, B.: Histograms of Oriented Gradients for Human Detection, Computer Vision and Pattern Recognition, 2005, IEEE Computer Society Conference on, 886\u2013893 (2005)"},{"key":"931_CR11","doi-asserted-by":"crossref","unstructured":"Calonder, M., Lepetit, V., Strecha, C., Fua, P.: Brief: Binary robust independent elementary features. Eur. Conf. Comput. Vis. 778\u2013792 (2010)","DOI":"10.1007\/978-3-642-15561-1_56"},{"key":"931_CR12","doi-asserted-by":"crossref","unstructured":"Rublee, E., Rabaud, V., Konolige, K., Bradski, G.: ORB: An efficient alternative to SIFT or SURF. IEEE international conference on Computer Vision (ICCV), 2564\u20132571 (2011)","DOI":"10.1109\/ICCV.2011.6126544"},{"issue":"3","key":"931_CR13","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"key":"931_CR14","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems, 1097\u20131105 (2012)"},{"key":"931_CR15","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"931_CR16","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. Proceedings of the IEEE conference on computer vision and pattern recognition, 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"931_CR17","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. Proceedings of the IEEE conference on computer vision and pattern recognition, 580\u2013587 (2014)","DOI":"10.1109\/CVPR.2014.81"},{"issue":"2","key":"931_CR18","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/s11263-013-0620-5","volume":"104","author":"JRR Uijlings","year":"2013","unstructured":"Uijlings, J.R.R., Van De Sande, K.E.A., Gevers, T., Smeulders, A.W.M.: Selective search for object recognition. Int. J. Comput. Vis. 104(2), 154\u2013171 (2013)","journal-title":"Int. J. Comput. Vis."},{"key":"931_CR19","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast r-cnn. Proceedings of the IEEE international conference on computer vision 1440\u20131448, (2015)","DOI":"10.1109\/ICCV.2015.169"},{"key":"931_CR20","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems, 91\u201399 (2015)"},{"key":"931_CR21","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. Proceedings of the IEEE conference on computer vision and pattern recognition, 779\u2013788 (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"931_CR22","doi-asserted-by":"crossref","unstructured":"Redmon, J., Farhadi, A.: YOLO9000: better, faster, stronger. arXiv preprint (2017)","DOI":"10.1109\/CVPR.2017.690"},{"key":"931_CR23","unstructured":"Redmon, J., Farhadi, A.: Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767 (2018)"},{"key":"931_CR24","doi-asserted-by":"crossref","unstructured":"Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.Y., Berg, A.C.: Ssd: Single shot multibox detector. European conference on computer vision, 21\u201337 (2016)","DOI":"10.1007\/978-3-319-46448-0_2"},{"issue":"4","key":"931_CR25","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1007\/s11633-016-1024-0","volume":"13","author":"Q Gu","year":"2016","unstructured":"Gu, Q., Ishii, I.: Review of some advances and applications in real-time high-speed vision: Our views and experiences. Int. J. Autom. Comput. 13(4), 305\u2013318 (2016)","journal-title":"Int. J. Autom. Comput."},{"issue":"1","key":"931_CR26","doi-asserted-by":"publisher","first-page":"013010","DOI":"10.1117\/1.JEI.21.1.013010","volume":"21","author":"I Ishii","year":"2012","unstructured":"Ishii, I., Tatebe, T., Gu, Q., Takaki, T.: Color-histogram-based tracking at 2000 fps. J. Electron. Imaging 21(1), 013010 (2012)","journal-title":"J. Electron. Imaging"},{"issue":"1","key":"931_CR27","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/TCSVT.2012.2202195","volume":"23","author":"Q Gu","year":"2013","unstructured":"Gu, Q., Takaki, T., Ishii, I.: Fast FPGA-based multiobject feature extraction. IEEE Trans. Circuits Syst. Video Technol. 23(1), 30\u201345 (2013)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"4","key":"931_CR28","doi-asserted-by":"publisher","first-page":"1346","DOI":"10.1109\/TASE.2015.2462118","volume":"12","author":"Q Gu","year":"2015","unstructured":"Gu, Q., Kawahara, T., Aoyama, T., Takaki, T., Ishii, I., Takemoto, A., Sakamoto, N.: LOC-based high-throughput cell morphology analysis system. IEEE Trans. Autom. Sci. Eng. 12(4), 1346\u20131356 (2015)","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"issue":"1","key":"931_CR29","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1109\/TASE.2013.2292583","volume":"12","author":"Q Gu","year":"2015","unstructured":"Gu, Q., Aoyama, T., Takaki, T., Ishii, I.: Simultaneous vision-based shape and motion analysis of cells fast-flowing in a microchannel. IEEE Trans. Autom. Sci. Eng. 12(1), 204\u2013215 (2015)","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"931_CR30","doi-asserted-by":"crossref","unstructured":"Li, J., Yin, Y., Liu, X., Xu, D., Gu, Q.: 12,000-fps Multi-object detection using HOG descriptor and SVM classifier. IEEE\/RSJ International Conference on intelligent robots and systems (IROS), 5928\u20135933 (2017)","DOI":"10.1109\/IROS.2017.8206487"},{"key":"931_CR31","unstructured":"Han, S., Pool, J., Tran, J., Dally, W.: Learning both weights and connections for efficient neural network. Adv. Neural Inf. Process. Syst., pp. 1135\u20131143 (2015)"},{"key":"931_CR32","doi-asserted-by":"crossref","unstructured":"Luo, J., Wu, J., Lin, W.: Thinet: A filter level pruning method for deep neural network compression. arXiv preprint arXiv:1707.06342 (2017)","DOI":"10.1109\/ICCV.2017.541"},{"key":"931_CR33","unstructured":"Wang, W., Sun, Y., Eriksson, B., Wang, W., Aggarwal, V.: Wide compression: Tensor ring nets. IEEE Conference on computer vision and pattern recognition, 9329\u20139338 (2018)"},{"key":"931_CR34","unstructured":"Howard, A.G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., Adam, H.: Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861 (2017)"},{"key":"931_CR35","doi-asserted-by":"crossref","unstructured":"Xie, S., Girshick, R., Doll\u00e1r, P., Tu, Z., He, K.: Aggregated residual transformations for deep neural networks. IEEE Conference on computer vision and pattern recognition (CVPR), 5987\u20135995 (2017)","DOI":"10.1109\/CVPR.2017.634"},{"key":"931_CR36","doi-asserted-by":"crossref","unstructured":"Rastegari, M., Ordonez, V., Redmon, J., Farhadi, A.: Xnor-net: Imagenet classification using binary convolutional neural networks. European Conference on computer vision, 525\u2013542 (2016)","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"931_CR37","doi-asserted-by":"crossref","unstructured":"Wang, P., Hu, Q., Zhang, Y., Zhang, C., Liu, Y., Cheng, J.: Others, two-step quantization for low-bit neural networks. Proceedings of the IEEE Conference on computer vision and pattern recognition, 4376\u20134384 (2018)","DOI":"10.1109\/CVPR.2018.00460"},{"key":"931_CR38","doi-asserted-by":"crossref","unstructured":"Park, E., Ahn, J., Yoo, S.: Weighted-entropy-based quantization for deep neural networks. IEEE Conference on computer vision and pattern recognition (CVPR) (2017)","DOI":"10.1109\/CVPR.2017.761"},{"key":"931_CR39","doi-asserted-by":"crossref","unstructured":"Leng, C., Li, H., Zhu, S., Jin, R.: Extremely low bit neural network: Squeeze the last bit out with admm. arXiv preprint arXiv:1707.09870 (2017)","DOI":"10.1609\/aaai.v32i1.11713"}],"container-title":["Journal of Real-Time Image Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11554-019-00931-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11554-019-00931-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11554-019-00931-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,9]],"date-time":"2022-10-09T05:48:11Z","timestamp":1665294491000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11554-019-00931-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,21]]},"references-count":39,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2020,10]]}},"alternative-id":["931"],"URL":"https:\/\/doi.org\/10.1007\/s11554-019-00931-5","relation":{},"ISSN":["1861-8200","1861-8219"],"issn-type":[{"type":"print","value":"1861-8200"},{"type":"electronic","value":"1861-8219"}],"subject":[],"published":{"date-parts":[[2019,12,21]]},"assertion":[{"value":"28 January 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 November 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 December 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}