{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:49:14Z","timestamp":1743122954623,"version":"3.40.3"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319781983"},{"type":"electronic","value":"9783319781990"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-78199-0_7","type":"book-chapter","created":{"date-parts":[[2018,3,21]],"date-time":"2018-03-21T00:13:52Z","timestamp":1521591232000},"page":"93-108","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Temporal Semantic Motion Segmentation Using Spatio Temporal Optimization"],"prefix":"10.1007","author":[{"given":"Nazrul","family":"Haque","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N. Dinesh","family":"Reddy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Madhava","family":"Krishna","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,3,22]]},"reference":[{"unstructured":"Badrinarayanan, V., Handa, A., Cipolla, R.: Segnet: a deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling. arXiv preprint arXiv:1505.07293 (2015)","key":"7_CR1"},{"key":"7_CR2","doi-asserted-by":"crossref","first-page":"2333","DOI":"10.1109\/TCSVT.2016.2587387","volume":"27","author":"T Chen","year":"2016","unstructured":"Chen, T., Lu, S.: Object-level motion detection from moving cameras. IEEE Trans. Circ. Syst. Video Technol. 27, 2333\u20132343 (2016)","journal-title":"IEEE Trans. Circ. Syst. Video Technol."},{"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: CVPR (2016)","key":"7_CR3","DOI":"10.1109\/CVPR.2016.350"},{"key":"7_CR4","doi-asserted-by":"crossref","first-page":"1558","DOI":"10.1109\/TPAMI.2014.2377715","volume":"37","author":"P Doll\u00e1r","year":"2015","unstructured":"Doll\u00e1r, P., Zitnick, C.L.: Fast edge detection using structured forests. PAMI 37, 1558\u20131570 (2015)","journal-title":"PAMI"},{"doi-asserted-by":"crossref","unstructured":"Fragkiadaki, K., Arbel\u00e1ez, P., Felsen, P., Malik, J.: Learning to segment moving objects in videos. In: CVPR. IEEE (2015)","key":"7_CR5","DOI":"10.1109\/CVPR.2015.7299035"},{"doi-asserted-by":"crossref","unstructured":"Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? the KITTI vision benchmark suite. In: CVPR (2012)","key":"7_CR6","DOI":"10.1109\/CVPR.2012.6248074"},{"doi-asserted-by":"crossref","unstructured":"Geiger, A., Ziegler, J., Stiller, C.: Stereoscan: Dense 3D reconstruction in real-time. In: Intelligent Vehicles Symposium (IV) (2011)","key":"7_CR7","DOI":"10.1109\/IVS.2011.5940405"},{"doi-asserted-by":"crossref","unstructured":"Haque, N., Reddy, D., Krishna, M.: Joint semantic and motion segmentation for dynamic scenes using deep convolutional networks. In: VISAPP (2017)","key":"7_CR8","DOI":"10.5220\/0006129200750085"},{"key":"7_CR9","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1109\/TPAMI.2007.1166","volume":"30","author":"H Hirschmuller","year":"2008","unstructured":"Hirschmuller, H.: Stereo processing by semiglobal matching and mutual information. IEEE Trans. PAMI 30, 328\u2013341 (2008)","journal-title":"IEEE Trans. PAMI"},{"doi-asserted-by":"crossref","unstructured":"Huang, S.J., Yu, Y., Zhou, Z.H.: Multi-label hypothesis reuse. In: KDD. ACM (2012)","key":"7_CR10","DOI":"10.1145\/2339530.2339615"},{"doi-asserted-by":"crossref","unstructured":"Jain, S., Madhav Govindu, V.: Efficient higher-order clustering on the grassmann manifold. In: ICCV, pp. 3511\u20133518 (2013)","key":"7_CR11","DOI":"10.1109\/ICCV.2013.436"},{"unstructured":"Koltun, V.: Efficient inference in fully connected CRFS with Gaussian edge potentials. In: NIPS (2011)","key":"7_CR12"},{"doi-asserted-by":"crossref","unstructured":"Kundu, A., Krishna, K., Sivaswamy, J.: Moving object detection by multi-view geometric techniques from a single camera mounted robot. In: IROS (2009)","key":"7_CR13","DOI":"10.1109\/IROS.2009.5354227"},{"doi-asserted-by":"crossref","unstructured":"Kundu, A., Vineet, V., Koltun, V.: Feature space optimization for semantic video segmentation. In: CVPR (2016)","key":"7_CR14","DOI":"10.1109\/CVPR.2016.345"},{"doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: ICCV, pp. 3431\u20133440 (2015)","key":"7_CR15","DOI":"10.1109\/CVPR.2015.7298965"},{"doi-asserted-by":"crossref","unstructured":"Noh, H., Hong, S., Han, B.: Learning deconvolution network for semantic segmentation. In: ICCV, pp. 1520\u20131528 (2015)","key":"7_CR16","DOI":"10.1109\/ICCV.2015.178"},{"doi-asserted-by":"crossref","unstructured":"Reddy, N.D., Singhal, P., Chari, V., Krishna, K.M.: Dynamic body VSLAM with semantic constraints. In: IROS (2015)","key":"7_CR17","DOI":"10.1109\/IROS.2015.7353626"},{"doi-asserted-by":"crossref","unstructured":"Reddy, N.D., Singhal, P., Krishna, K.M.: Semantic motion segmentation using dense CRF formulation. In: ICVGIP (2014)","key":"7_CR18","DOI":"10.1145\/2683483.2683539"},{"doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: Unified, real-time object detection. In: CVPR (2016)","key":"7_CR19","DOI":"10.1109\/CVPR.2016.91"},{"unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: NIPS (2015)","key":"7_CR20"},{"doi-asserted-by":"crossref","unstructured":"Ros, G., Ramos, S., Granados, M., Bakhtiary, A., Vazquez, D., Lopez, A.: Vision-based offline-online perception paradigm for autonomous driving. In: WACV (2015)","key":"7_CR21","DOI":"10.1109\/WACV.2015.38"},{"doi-asserted-by":"crossref","unstructured":"Shotton, J., Johnson, M., Cipolla, R.: Semantic texton forests for image categorization and segmentation. In: CVPR. IEEE (2008)","key":"7_CR22","DOI":"10.1109\/CVPR.2008.4587503"},{"unstructured":"Simonyan, K., Zisserman, A.: Two-stream convolutional networks for action recognition in videos. In: NIPS, pp. 568\u2013576 (2014)","key":"7_CR23"},{"unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556 (2014)","key":"7_CR24"},{"key":"7_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"438","DOI":"10.1007\/978-3-642-15549-9_32","volume-title":"Computer Vision \u2013 ECCV 2010","author":"N Sundaram","year":"2010","unstructured":"Sundaram, N., Brox, T., Keutzer, K.: Dense point trajectories by GPU-accelerated large displacement optical flow. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6311, pp. 438\u2013451. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15549-9_32"},{"issue":"2","key":"7_CR26","first-page":"237","volume":"82","author":"S Tourani","year":"2016","unstructured":"Tourani, S., Krishna, K.M.: Using in-frame shear constraints for monocular motion segmentation of rigid bodies. JIRS 82(2), 237\u2013255 (2016)","journal-title":"JIRS"},{"doi-asserted-by":"crossref","unstructured":"Vertens, J., Valada, A., Burgard, W.: SMSnet: semantic motion segmentation using deep convolutional neural networks. In: IROS (2017)","key":"7_CR27","DOI":"10.1109\/IROS.2017.8202211"},{"doi-asserted-by":"crossref","unstructured":"Vidal, R., Sastry, S.: Optimal segmentation of dynamic scenes from two perspective views. In: CVPR, vol. 2 (2003)","key":"7_CR28","DOI":"10.1109\/CVPR.2003.1211481"},{"doi-asserted-by":"crossref","unstructured":"Weinzaepfel, P., Revaud, J., Harchaoui, Z., Schmid, C.: Deepflow: large displacement optical flow with deep matching. In: ICCV (2013)","key":"7_CR29","DOI":"10.1109\/ICCV.2013.175"},{"key":"7_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/978-3-319-46448-0_16","volume-title":"Computer Vision \u2013 ECCV 2016","author":"S Yi","year":"2016","unstructured":"Yi, S., Li, H., Wang, X.: Pedestrian behavior understanding and prediction with deep neural networks. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9905, pp. 263\u2013279. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46448-0_16"},{"unstructured":"Yu, F., Koltun, V.: Multi-scale context aggregation by dilated convolutions. arXiv preprint arXiv:1511.07122 (2015)","key":"7_CR31"},{"doi-asserted-by":"crossref","unstructured":"Zheng, S., Jayasumana, S., Romera-Paredes, B., Vineet, V., Su, Z., Du, D., Huang, C., Torr, P.H.: Conditional random fields as recurrent neural networks. In: ICCV, pp. 1529\u20131537 (2015)","key":"7_CR32","DOI":"10.1109\/ICCV.2015.179"},{"doi-asserted-by":"crossref","unstructured":"Zografos, V., Nordberg, K.: Fast and accurate motion segmentation using linear combination of views. In: BMVC (2011)","key":"7_CR33","DOI":"10.5244\/C.25.12"}],"container-title":["Lecture Notes in Computer Science","Energy Minimization Methods in Computer Vision and Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-78199-0_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,13]],"date-time":"2019-10-13T01:53:43Z","timestamp":1570931623000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-78199-0_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319781983","9783319781990"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-78199-0_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}