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» Detecting Uncommon Trajectories
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119
Voted
CVPR
2004
IEEE
16 years 2 months ago
An Algorithm for Multiple Object Trajectory Tracking
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
99
Voted
ICIP
2009
IEEE
16 years 1 months ago
Motion Vector Processing Based On Trajectory Curve Analysis For Motion Compensated Frame Interpolation
In this paper, we propose a novel motion vector processing approach based on the temporal analysis of motion vector reliability for motion-compensated frame interpolation. We firs...
135
Voted
TCSV
2008
174views more  TCSV 2008»
15 years 9 days ago
A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance
Abstract--This paper presents a survey of trajectory-based activity analysis for visual surveillance. It describes techniques that use trajectory data to define a general set of ac...
Brendan Tran Morris, Mohan M. Trivedi
94
Voted
IVC
2002
185views more  IVC 2002»
15 years 2 days ago
Path detection in video surveillance
This paper addresses the problem of automatically extracting frequently used pedestrian pathways from video sequences of natural outdoor scenes. Path models are learnt from the ac...
Dimitrios Makris, Tim Ellis
100
Voted
ICPR
2006
IEEE
16 years 1 months ago
Estimating Geospatial Trajectory of a Moving Camera
This paper proposes a novel method for estimating the geospatial trajectory of a moving camera. The proposed method uses a set of reference images with known GPS (global positioni...
Asaad Hakeem, Mubarak Shah, Rita Cucchiara, Robert...