A Fast Particle Filter Object Tracking Algorithm by Dual Features Fusion

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.