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» Towards Benchmarking of Video Motion Tracking Algorithms
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ICIP
2007
IEEE
14 years 9 months ago
Multi-Modal Particle Filtering Tracking using Appearance, Motion and Audio Likelihoods
We propose a multi-modal object tracking algorithm that combines appearance, motion and audio information in a particle filter. The proposed tracker fuses at the likelihood level ...
Matteo Bregonzio, Murtaza Taj, Andrea Cavallaro
AIPR
2001
IEEE
13 years 11 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
MVA
2007
121views Computer Vision» more  MVA 2007»
13 years 9 months ago
Tracking Features with Global Motion Compensation for Drone Camera Servoing
This paper deals with visual servoing for a pan and tilt camera embedded in a drone. Video is transmitted to the ground where images are processed on a PC, and turret controls are...
Benoît Louvat, Laurent Bonnaud, Nicolas Marc...
IVC
2002
143views more  IVC 2002»
13 years 7 months ago
Towards the automatic analysis of complex human body motions
The classification of human body motion is an integral component for the automatic interpretation of video sequences. In a first part we present an effective approach that uses mi...
Jens Rittscher, Andrew Blake, Stephen J. Roberts
CVPR
2011
IEEE
13 years 3 months ago
A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video
We introduce a new large-scale video dataset designed to assess the performance of diverse visual event recognition algorithms with a focus on continuous visual event recognition ...
Sangmin Oh, Anthony Hoogs, A.G.Amitha Perera, Chia...