31![Moving Obstacle Detection in Highly Dynamic Scenes A. Ess1 , B. Leibe2 , K. Schindler1,3 , L. van Gool1,4 1 Computer Vision Laboratory, ETH Zurich, Switzerland Moving Obstacle Detection in Highly Dynamic Scenes A. Ess1 , B. Leibe2 , K. Schindler1,3 , L. van Gool1,4 1 Computer Vision Laboratory, ETH Zurich, Switzerland](https://www.pdfsearch.io/img/f75798162200730110b386627ecf5271.jpg) | Add to Reading ListSource URL: europa.informatik.uni-freiburg.deLanguage: English - Date: 2009-04-23 06:44:22
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32![Pedestrian Detection with Unsupervised Multi-Stage Feature Learning Pierre Sermanet Koray Kavukcuoglu Soumith Chintala Pedestrian Detection with Unsupervised Multi-Stage Feature Learning Pierre Sermanet Koray Kavukcuoglu Soumith Chintala](https://www.pdfsearch.io/img/6d735fe4c5edfba696a19864c3fed36b.jpg) | Add to Reading ListSource URL: koray.kavukcuoglu.orgLanguage: English - Date: 2016-06-16 14:59:16
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33![Learning an image-based motion context for multiple people tracking Laura Leal-Taix´e1,2 , Michele Fenzi2 , Alina Kuznetsova2 , Bodo Rosenhahn2 , and Silvio Savarese3 1 2 Learning an image-based motion context for multiple people tracking Laura Leal-Taix´e1,2 , Michele Fenzi2 , Alina Kuznetsova2 , Bodo Rosenhahn2 , and Silvio Savarese3 1 2](https://www.pdfsearch.io/img/73fffc654a5831b90cc52a4eb69d94e0.jpg) | Add to Reading ListSource URL: www.tnt.uni-hannover.deLanguage: English |
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34![Pedestrian Anomaly Detection Using Context-Sensitive Crowd Simulation Cory D. Boatright Mubbasir Kapadia Jennie M. Shapira Norman I. Badler Pedestrian Anomaly Detection Using Context-Sensitive Crowd Simulation Cory D. Boatright Mubbasir Kapadia Jennie M. Shapira Norman I. Badler](https://www.pdfsearch.io/img/593f5ccab9b9da42124e4e4f99171c9b.jpg) | Add to Reading ListSource URL: www.seas.upenn.eduLanguage: English - Date: 2012-12-14 20:12:33
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35![Pedestrian detection at 100 frames per second Rodrigo Benenson, Markus Mathias, Radu Timofte and Luc Van Gool ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium Abstract Pedestrian detection at 100 frames per second Rodrigo Benenson, Markus Mathias, Radu Timofte and Luc Van Gool ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium Abstract](https://www.pdfsearch.io/img/64bf8b106d0da88b1611cc4dab8eaf9d.jpg) | Add to Reading ListSource URL: rogerioferis.comLanguage: English - Date: 2014-01-19 18:01:44
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36![L0 Regularized Stationary Time Estimation for Crowd Group Analysis Shuai Yi Xiaogang Wang Cewu Lu Jiaya Jia L0 Regularized Stationary Time Estimation for Crowd Group Analysis Shuai Yi Xiaogang Wang Cewu Lu Jiaya Jia](https://www.pdfsearch.io/img/e640eef7a8df7ccd4fb0490234824b67.jpg) | Add to Reading ListSource URL: www.cse.cuhk.edu.hkLanguage: English - Date: 2014-04-14 12:03:37
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37![CoDeL: A Human Co-detection and Labeling Framework Jianping Shi∗ Renjie Liao∗ Jiaya Jia The Chinese University of Hong Kong {jpshi, rjliao, leojia}@cse.cuhk.edu.hk CoDeL: A Human Co-detection and Labeling Framework Jianping Shi∗ Renjie Liao∗ Jiaya Jia The Chinese University of Hong Kong {jpshi, rjliao, leojia}@cse.cuhk.edu.hk](https://www.pdfsearch.io/img/12607e4a90a3206cd75cc3150fd027a7.jpg) | Add to Reading ListSource URL: www.cse.cuhk.edu.hkLanguage: English - Date: 2013-10-03 11:58:13
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38![People Detection and Tracking from Aerial Thermal Views Jan Portmann, Simon Lynen, Margarita Chli and Roland Siegwart Autonomous Systems Lab, ETH Zurich Abstract— Detection and tracking of people in visible-light image People Detection and Tracking from Aerial Thermal Views Jan Portmann, Simon Lynen, Margarita Chli and Roland Siegwart Autonomous Systems Lab, ETH Zurich Abstract— Detection and tracking of people in visible-light image](https://www.pdfsearch.io/img/f2710e4e4b35dad43076cc1565a67ede.jpg) | Add to Reading ListSource URL: www.margaritachli.comLanguage: English - Date: 2014-03-14 13:25:07
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39![High-Level Fusion of Depth and Intensity for Pedestrian Classification Marcus Rohrbach1,3 , Markus Enzweiler2 and Dariu M. Gavrila1,4 1 Environment Perception, Group Research, Daimler AG, Ulm, Germany High-Level Fusion of Depth and Intensity for Pedestrian Classification Marcus Rohrbach1,3 , Markus Enzweiler2 and Dariu M. Gavrila1,4 1 Environment Perception, Group Research, Daimler AG, Ulm, Germany](https://www.pdfsearch.io/img/649584891b09a12de73656065f4b1b5c.jpg) | Add to Reading ListSource URL: dl.dropboxusercontent.comLanguage: English |
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40![](https://www.pdfsearch.io/img/ee30d266eab069be5c6d00a4c91685b1.jpg) | Add to Reading ListSource URL: dl.dropboxusercontent.comLanguage: English |
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