JOURNAL ARTICLE

Improved Camshift Tracking Algorithm Based on Silhouette Moving Detection

Abstract

Camshift is an efficient object tracking algorithm using color probability distribution. But it's easy to be interfered by the similar color objects in the background. So we bring in the motion characteristics extracted by the motion template method, and then make an improved Camshift algorithm. Experiments show that the improved algorithm has more robustness in dealing with color interference and sudden illumination variation.

Keywords:
Robustness (evolution) Artificial intelligence Silhouette Computer vision Computer science Video tracking Tracking (education) Object (grammar) Algorithm Pattern recognition (psychology)

Metrics

5
Cited By
0.51
FWCI (Field Weighted Citation Impact)
7
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Measurement and Detection Methods
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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