Memory-based particle filter for real-time object tracking

Particle filter tracking algorithm based on global features becomes invalid when the target's appearance changes or is similar to the background. In order to solve such problems, we propose a memory-based particle filter which considers both local and global feature. Particles provide reliable...

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Bibliographic Details
Main Authors: Xiaoran Niu, Yanjiang Wang, Yujuan Qi
Format: Conference Proceeding
Language:English
Subjects:
BRIEF descriptor
Computational modeling
Computer vision
Feature extraction
Local feature
Memory mechanism
Object tracking
Particle filter
Particle filters
Real-time systems
Target tracking
Online Access:Request full text
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