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» Detecting Uncommon Trajectories
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CVPR
2011
IEEE
13 years 5 months ago
Detection Free Tracking: Exploiting Motion and Topology for Segmenting and Tracking under Entanglement.
Our goal is to segment multiple interacting and deforming agents in a video. Detectors often fail under large body deformation or agent entanglement. On the other hand, segmenting...
Katerina Fragkiadaki, Jianbo Shi
ICPR
2002
IEEE
14 years 10 months ago
Person-on-Person Violence Detection in Video Data
We address the problem of detecting human violence in video, such as fist fighting, kicking, hitting with objects, etc. To detect violence we rely on motion trajectory information...
Ankur Datta, Mubarak Shah, Niels da Vitoria Lobo
ICRA
2002
IEEE
68views Robotics» more  ICRA 2002»
14 years 1 months ago
Self-Collision Detection and Prevention for Humanoid Robots
We present an efficient approach to self-collision detection suitable for complex articulated robots such as humanoids. Preventing self-collisions is vital for the safe operation ...
James J. Kuffner Jr., Koichi Nishiwaki, Satoshi Ka...
MVA
2007
179views Computer Vision» more  MVA 2007»
13 years 8 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
GIS
2010
ACM
13 years 7 months ago
Constrained free space diagrams: a tool for trajectory analysis
We propose a new and powerful tool for the analysis of trajectories, which in particular allows for more temporally aware analyses. Time plays an important role in the analysis of ...
Kevin Buchin, Maike Buchin, Joachim Gudmundsson