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» Multimodal People Detection and Tracking in Crowded Scenes
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AMS
2005
Springer
143views Robotics» more  AMS 2005»
15 years 3 months ago
Integration of a Sound Source Detection into a Probabilistic-based Multimodal Approach for Person Detection and Tracking
Abstract. Dealing with methods of Human-Robot-Interaction and using a real mobile robot, stable methods for people detection and tracking are fundamental features of such a system ...
Robert Brückmann, Andrea Scheidig, Christian ...
109
Voted
ICIP
1994
IEEE
15 years 10 months ago
Tracking and Counting Moving People
The development of a system able to detect and track moving people is described. Given a sequence of timevarying images, the goal is to count the number of people crossing a count...
M. Rossi, A. Bozzoli
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
ICCV
2009
IEEE
16 years 2 months ago
Action Detection in Complex Scenes with Spatial and Temporal Ambiguities
In this paper, we investigate the detection of semantic human actions in complex scenes. Unlike conventional action recognition in well-controlled environments, action detection...
Yuxiao Hu, Liangliang Cao, Fengjun Lv, Shuicheng Y...
CVPR
2006
IEEE
15 years 11 months ago
Unsupervised Bayesian Detection of Independent Motion in Crowds
While crowds of various subjects may offer applicationspecific cues to detect individuals, we demonstrate that for the general case, motion itself contains more information than p...
Gabriel J. Brostow, Roberto Cipolla