A fast particle filter object tracking algorithm by dual features fusion

Shou-wei Zhao; Wei-ming Wang; Sa-sa Ma; Yong Zhang; Ming Yu

doi:10.1117/12.2072238

24 November 2014 A fast particle filter object tracking algorithm by dual features fusion

Shou-wei Zhao, Wei-ming Wang, Sa-sa Ma, Yong Zhang, Ming Yu

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93011P (2014) https://doi.org/10.1117/12.2072238
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

Under the particle filtering framework, a video object tracking method described by dual cues extracting from integral histogram and integral image is proposed. The method takes both the color histogram feature and the Harr-like feature of the target region as the feature representation model, tracking the target region by particle filter. In the premise of ensuring the real-time responsiveness, it overcomes the shortcomings of poor precision, large fluctuations, light sensitive defects and so on by only relying on histogram feature tracking. It shows high efficiency by tracking the target object in multiple video sequences. Finally, it is applied in the augmented reality assisted maintenance prototype system, which proves that the method can be used in the tracking registration process of the augmented reality system based on natural feature.

Citation Download Citation

Shou-wei Zhao, Wei-ming Wang, Sa-sa Ma, Yong Zhang, and Ming Yu "A fast particle filter object tracking algorithm by dual features fusion", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93011P (24 November 2014); https://doi.org/10.1117/12.2072238

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KEYWORDS

Detection and tracking algorithms

Particle filters

Particles

Feature extraction

Optical tracking

Autoregressive models

Augmented reality

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