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» Pedestrian Detection: A Benchmark
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ICPR
2008
IEEE
13 years 12 months ago
Pedestrian detection by modeling local convex shape features
This paper presents a pedestrian model built collectively on a group of strong local convex shape descriptors. The pedestrian model captures the most important features of a pedes...
Jungme Park, Yun Luo, Haoxing Wang, Yi Lu Murphey
CVPR
2012
IEEE
11 years 8 months ago
Contextual Boost for Pedestrian Detection
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
Yuanyuan Ding, Jing Xiao
CVPR
2010
IEEE
1872views Computer Vision» more  CVPR 2010»
14 years 1 months ago
New Features and Insights for Pedestrian Detection
Despite impressive progress in people detection the performance on challenging datasets like Caltech Pedestrians or TUD-Brussels is still unsatisfactory. In this work we show that...
Stefan Walk, Nikodem Majer, Konrad Schindler, Bern...
CVPR
2012
IEEE
11 years 7 months ago
Are we ready for autonomous driving? The KITTI vision benchmark suite
Today, visual recognition systems are still rarely employed in robotics applications. Perhaps one of the main reasons for this is the lack of demanding benchmarks that mimic such ...
Andreas Geiger, Philip Lenz, Raquel Urtasun
SAMT
2007
Springer
251views Multimedia» more  SAMT 2007»
13 years 11 months ago
Event Detection in Pedestrian Detection and Tracking Applications
Abstract. In this paper, we present a system framework for event detection in pedestrian and tracking applications. The system is built upon a robust computer vision approach to de...
Philip Kelly, Noel E. O'Connor, Alan F. Smeaton