Research on Improved Camshift Algorithm Based on Feature-Certificate Fusion
Aiming at the problems that the traditional Camshift algorithm only depends on the color feature information,the tracking effect is not good in the face of complex background and scale changes,an improved Camshift algorithm based on feature fu-sion is proposed.The algorithm first combines the chromaticity and saturation components in the HSV color space to generate a tem-plate,and then adaptively fuses with directional gradient histogram features to provide more feature information for detection and tracking.Finally,scale adaptation is introduced to improve the adaptability of the algorithm to scale changes.The international com-monly used data sets are tested and compared with the improved algorithm,the results show that the tracking effect is better,and has obvious advantages over the traditional algorithm.
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