{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:11:57Z","timestamp":1743009117529,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319685595"},{"type":"electronic","value":"9783319685601"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68560-1_27","type":"book-chapter","created":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T12:28:21Z","timestamp":1507811301000},"page":"298-308","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Complexity and Accuracy of Hand-Crafted Detection Methods Compared to Convolutional Neural Networks"],"prefix":"10.1007","author":[{"given":"Valeria","family":"Tomaselli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emanuele","family":"Plebani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mauro","family":"Strano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danilo","family":"Pau","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,13]]},"reference":[{"issue":"8","key":"27_CR1","doi-asserted-by":"publisher","first-page":"1532","DOI":"10.1109\/TPAMI.2014.2300479","volume":"36","author":"P Doll\u00e1r","year":"2014","unstructured":"Doll\u00e1r, P., Appel, R., Belongie, S., Perona, P.: Fast feature pyramids for object detection. IEEE Trans. Pattern Anal. Mach. Intell. 36(8), 1532\u20131545 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"27_CR2","doi-asserted-by":"crossref","unstructured":"Tom\u00e9, D., Monti, F., Baroffio, L., Bondi, L., Tagliasacchi, M., Tubaro, S.: Deep convolutional neural networks for pedestrian detection. Technical report, Politecnico di Milano (2015)","DOI":"10.1016\/j.image.2016.05.007"},{"key":"27_CR3","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.: Imagenet classification with deep convolutional neural networks. In: NIPS, pp. 1\u20139 (2012)"},{"key":"27_CR4","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 779\u2013788 (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"27_CR5","first-page":"734","volume":"2","author":"P Viola","year":"2003","unstructured":"Viola, P., Jones, M., Snow, D.: Detecting pedestrians using patterns of motion and appearance. Int. J. Comput. Vis. 2, 734\u2013741 (2003)","journal-title":"Int. J. Comput. Vis."},{"key":"27_CR6","first-page":"886","volume":"1","author":"N Dalal","year":"2005","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. 1, 886\u2013893 (2005)","journal-title":"IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit."},{"issue":"9","key":"27_CR7","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1109\/TPAMI.2009.167","volume":"32","author":"P Felzenszwalb","year":"2010","unstructured":"Felzenszwalb, P., Girshick, R., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part-based models. IEEE Trans. Pattern Anal. Mach. Intell. 32(9), 1627\u20131645 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"27_CR8","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"27_CR9","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/s11263-013-0620-5","volume":"104","author":"J Uijlings","year":"2013","unstructured":"Uijlings, J., van de Sande, K., Gevers, T., Smeulders, A.: Selective search for object recognition. Int. J. Comput. Vis. 104, 154\u2013171 (2013)","journal-title":"Int. J. Comput. Vis."},{"key":"27_CR10","unstructured":"Nam, W., Doll\u00e1r, P., Han, J.H.: Local decorrelation for improved pedestrian detection. In: 28th Annual Conference on Neural Information Processing Systems (2014)"},{"key":"27_CR11","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Spatial pyramid pooling in deep convolutional networks for visual recognition. arXiv:1406.4729v4 (2014)","DOI":"10.1007\/978-3-319-10578-9_23"},{"key":"27_CR12","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast R-CNN. arXiv:1504.08083 (2015)","DOI":"10.1109\/ICCV.2015.169"},{"key":"27_CR13","unstructured":"Ren, S., Ross, K.H., Sun, G.J.: Faster R-CNN: towards real-time object detection with region proposal networks. arXiv:1506.01497v2 (2015)"},{"key":"27_CR14","unstructured":"Dalal, L., Triggs, B.: Histograms of oriented gradients for human detection. In: IEEE Conference on Computer Vision and Pattern Recognition (2005)"},{"key":"27_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1007\/978-3-642-38628-2_34","volume-title":"Pattern Recognition and Image Analysis","author":"M Taiana","year":"2013","unstructured":"Taiana, M., Nascimento, J.C., Bernardino, A.: An improved labelling for the INRIA person data set for pedestrian detection. In: Sanches, J.M., Mic\u00f3, L., Cardoso, J.S. (eds.) IbPRIA 2013. LNCS, vol. 7887, pp. 286\u2013295. Springer, Heidelberg (2013). doi:10.1007\/978-3-642-38628-2_34"},{"key":"27_CR16","doi-asserted-by":"crossref","unstructured":"Yang, L., Luo, P., Loy, C.C., Tang, X.: A large-scale car dataset for fine-grained categorization and verification. In: IEEE Conference on Computer Vision and Pattern Recognition (2015)","DOI":"10.1109\/CVPR.2015.7299023"},{"key":"27_CR17","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. IEEE Conference on Computer Vision and Pattern Recognition (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"27_CR18","doi-asserted-by":"crossref","unstructured":"Mathias, M., Timofte, R., Benenson, R., Van Gool, L.: Traffic sign recognition - how far are we from the solution? In: International Joint Conference on Neural Networks (IJCNN ), Dallas, USA, (2013)","DOI":"10.1109\/IJCNN.2013.6707049"},{"key":"27_CR19","doi-asserted-by":"crossref","unstructured":"Houben, S., Stallkamp, J., Salmen, J., Schlipsing, M., Igel, C.: Detection of traffic signs in real-world images: the German traffic sign detection benchmark. In: International Joint Conference on Neural Networks (2013)","DOI":"10.1109\/IJCNN.2013.6706807"},{"key":"27_CR20","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1007\/s00138-011-0391-3","volume":"25","author":"R Timofte","year":"2011","unstructured":"Timofte, R., Zimmermann, K., Van Gool, L.: Multi-view traffic sign detection, recognition, and 3D localisation. Mach. Vis. Appl. 25, 633\u2013647 (2011)","journal-title":"Mach. Vis. Appl."},{"key":"27_CR21","doi-asserted-by":"crossref","unstructured":"Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., Schiele, B.: The cityscapes dataset for semantic urban scene understanding. In: IEEE Conference on Computer Vision and Pattern Recognition (2016)","DOI":"10.1109\/CVPR.2016.350"},{"issue":"4","key":"27_CR22","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1109\/TPAMI.2011.155","volume":"34","author":"P Doll\u00e1r","year":"2012","unstructured":"Doll\u00e1r, P., Wojek, C., Schiele, B., Perona, P.: Pedestrian detection: an evaluation of the state of the art. Pattern Anal. Mach. Intell. 34(4), 743\u2013761 (2012)","journal-title":"Pattern Anal. Mach. Intell."},{"key":"27_CR23","doi-asserted-by":"crossref","unstructured":"Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the 22nd ACM International Conference on Multimedia, pp. 675\u2013678 (2014)","DOI":"10.1145\/2647868.2654889"},{"key":"27_CR24","unstructured":"Redmon, J.: Darknet: Open Source Neural Networks in C (2013\u20132016). https:\/\/pjreddie.com\/darknet\/"},{"key":"27_CR25","unstructured":"Xing, W., Plebani, E.: YOLO (Real-Time Object Detection) in caffe. https:\/\/github.com\/Banus\/caffe-yolo"},{"key":"27_CR26","unstructured":"Courbariaux, M., Hubara, I., Soudry, D., El-Yaniv, R., Bengio, Y.: Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or $$-$$1 (2016). arXiv preprint arXiv:1602.02830"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68560-1_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T14:20:58Z","timestamp":1710166858000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-68560-1_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319685595","9783319685601"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68560-1_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"13 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Catania","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iciap2017.com","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}