Real-time Tracking of Participants in Meeting Video
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Summary
The aim of this work was to develop a robust real-time tracker of body parts in meeting videos by dividing tracking task into two separate parts and using KLT feature based tracker.
- Type
- article
- Published
- 2006-01-01
- Cited by
- 5
- References
- 16
- OpenAlex
- https://openalex.org/W55312258
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7732510
Keywords
Video tracking, Computer science, Background subtraction, Tracking (education), Computer vision
References
- Face tracking in color video sequences
- A Rao-Blackwellized Mixed State Particle Filter for Head Pose Tracking
- An Iterative Image Registration Technique with an Application to Stereo Vision
- Good features to track
- CONDENSATION—Conditional Density Propagation for Visual Tracking
- Face tracking in meeting room scenarios using omnidirectional views
- A Rao-Blackwellized Mixed State Particle Filter for Head Pose Tracking in Meetings
- Pyramidal implementation of the Lucas Kanade feature tracker description of the algorithm
- Non-parametric Model for Background Subtraction
- ARao›Blackwellized Mixed State Particle Filter for Head Pose Tracking in Meetings
- Evaluation of RGB and HSV models in Human Faces Detection
- Pyramidal implementation of the lucas kanade feature tracker
Cited by
- A Robust Tracking-by-Detection Algorithm Using Adaptive Accumulated Frame Differencing and Corner Features
- Multi-person Tracking in Meetings: A Comparative Study
- Audio-Visual Processing in Meetings: Seven Questions and Current AMI Answers
- 2D Multi-person Tracking: A Comparative Study in AMI Meetings
- Feature Point based object tracking AMI training program report
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