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CVPR
2006
IEEE
15 years 11 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
MM
2009
ACM
252views Multimedia» more  MM 2009»
15 years 4 months ago
Localizing volumetric motion for action recognition in realistic videos
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge ca...
Xiao Wu, Chong-Wah Ngo, Jintao Li, Yongdong Zhang
SMC
2010
IEEE
148views Control Systems» more  SMC 2010»
14 years 7 months ago
A random finite set based detection and tracking using 3D LIDAR in dynamic environments
—In this paper we describe a fully integrated system for detecting and tracking pedestrians in a dynamic urban environment. The system can reliably detect and track pedestrians t...
Bharath Kalyan, K. W. Lee, W. Sardha Wijesoma, D. ...
ICCV
2011
IEEE
13 years 9 months ago
Double Window Optimisation for Constant Time Visual SLAM
We present a novel and general optimisation framework for visual SLAM, which scales for both local, highly accurate reconstruction and large-scale motion with long loop closures. ...
Hauke Strasdat, Andrew J. Davison, J. M. M. Montie...
ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
16 years 2 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool