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» Tracking in a Dense Crowd Using Multiple Cameras
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IPSN
2003
Springer
14 years 25 days 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...
IVC
2006
123views more  IVC 2006»
13 years 7 months ago
Multi camera image tracking
This paper presents a method for multi camera image tracking in the context of image surveillance. The approach differs from most methods in that we exploit multiple camera views ...
James Black, Tim Ellis
IVC
2000
94views more  IVC 2000»
13 years 7 months ago
Pupil detection and tracking using multiple light sources
We present a fast, robust, and low cost pupil detection technique that uses two near infra red time multiplexed light sources synchronized with the camera frame rate. The two ligh...
Carlos Hitoshi Morimoto, David Koons, Arnon Amir, ...
JUCS
2010
265views more  JUCS 2010»
13 years 6 months ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada
ICASSP
2011
IEEE
12 years 11 months ago
Graph-based sequential particle filtering in lossy networks: Single and multiple collaborative cameras
This paper presents a novel approach of multiple target tracking from multiple collaborative cameras. Firstly, particle filtering for conditional density propagation on graphs to...
Jing Huang, Dan Schonfeld