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ICCV
2007
IEEE
16 years 8 months ago
Coupled Detection and Trajectory Estimation for Multi-Object Tracking
We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. It is formulated in a...
Bastian Leibe, Konrad Schindler, Luc J. Van Gool
ICCV
2007
IEEE
16 years 8 months ago
Stochastic Adaptive Tracking In A Camera Network
We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cameras. Similarities between features (appearance and biometrics) observ...
Bi Song, Amit K. Roy Chowdhury
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 12 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
ICCV
2003
IEEE
15 years 11 months ago
Tracking Across Multiple Cameras With Disjoint Views
Conventional tracking approaches assume proximity in space, time and appearance of objects in successive observations. However, observations of objects are often widely separated ...
Omar Javed, Zeeshan Rasheed, Khurram Shafique, Mub...
ECCV
2010
Springer
15 years 11 months ago
Multi-Person Tracking with Sparse Detection and Continuous Segmentation
This paper presents an integrated framework for mobile street-level tracking of multiple persons. In contrast to classic tracking-by-detection approaches, our framework employs an ...