A complete system for head tracking using motion-based particle filter and randomly perturbed active contour

2005 ◽  
Author(s):  
N. Bouaynaya ◽  
Dan Schonfeld
Keyword(s):  
Particle Filter ◽  
Active Contour ◽  
Complete System ◽  
Head Tracking

scholarly journals Depth and thermal information fusion for head tracking using particle filter in a fall detection context

2020 ◽  
Vol 27 (2) ◽  
pp. 195-208
Author(s):  
Imen Halima ◽  
Jean-Marc Laferté ◽  
Geoffroy Cormier ◽  
Alain-Jérôme Fougères ◽  
Jean-Louis Dillenseger
Keyword(s):  
Particle Filter ◽  
Information Fusion ◽  
Fall Detection ◽  
Head Tracking

scholarly journals 3D Head Tracking using the Particle Filter with Cascaded Classifiers

2006 ◽  
Author(s):  
Y. Kobayashi ◽  
D. Sugimura ◽  
K. Hirasawa ◽  
N. Suzuki ◽  
H. Kage ◽  
...  
Keyword(s):  
Particle Filter ◽  
Head Tracking ◽  
Cascaded Classifiers

Research on Stratified Re-Sampling Particle Filter Target Tracking Algorithm Based on Multiple Clues

2011 ◽  
Vol 474-476 ◽  
pp. 386-391
Author(s):  
Jie Cao ◽  
Qing Hong Zeng
Keyword(s):  
Particle Filter ◽  
Active Contour ◽  
Active Contour Model ◽  
Video Object ◽  
Video Object Tracking ◽  
Traditional Algorithm ◽  
Likelihood Model ◽  
Contour Information ◽  
Particle Filter Algorithm ◽  
Geometric Active Contour

To further improve the performance of video object tracking and overcome the instability brought by using a single measurement source, a new particle filter algorithm was proposed which combined the color with contour information. The methord used color likelihood model to predict object, geometric active contour model to update the particle, and Stratified Re-sampling method to overcome the particle degradation. Experimental results show that the proposed algorithm is more robust than the traditional algorithm based on a single clue in occlusion, even though the color of the object is very similar to the background, it still tracks the target accurately.

Robust head tracking using 3D ellipsoidal head model in particle filter

2008 ◽  
Vol 41 (9) ◽  
pp. 2901-2915 ◽  
Author(s):  
Sukwon Choi ◽  
Daijin Kim
Keyword(s):  
Particle Filter ◽  
Head Model ◽  
Head Tracking
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