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ICASSP
2011
IEEE
13 years 2 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni
IVC
2008
101views more  IVC 2008»
13 years 11 months ago
Occlusion analysis: Learning and utilising depth maps in object tracking
Complex scenes such as underground stations and malls are composed of static occlusion structures such as walls, entrances, columns, turnstiles and barriers. Unless this occlusion...
Darrel Greenhill, John-Paul Renno, James Orwell, G...
IPSN
2003
Springer
14 years 4 months ago
Detection, Classification, and Collaborative Tracking of Multiple Targets Using Video Sensors
The study of collaborative, distributed, real-time sensor networks is an emerging research area. Such networks are expected to play an essential role in a number of applications su...
Peshala V. Pahalawatta, Dejan Depalov, Thrasyvoulo...
ACCV
2007
Springer
14 years 5 months ago
Continuously Tracking Objects Across Multiple Widely Separated Cameras
In this paper, we present a new solution to the problem of multi-camera tracking with non-overlapping fields of view. The identities of moving objects are maintained when they are...
Yinghao Cai, Wei Chen, Kaiqi Huang, Tieniu Tan
SPIESR
1998
190views Database» more  SPIESR 1998»
14 years 10 days ago
NeTra-V: Toward an Object-Based Video Representation
We present here a prototype video analysis and retrieval system, called NeTra-V, that is being developed to build an object-based video representation for functionalities such as s...
Yining Deng, Debargha Mukherjee, B. S. Manjunath