Moving Target Detection Using Inter-Frame Difference Methods Combined with Texture Features and Lab Color Space

Moving target detection from a video has been considered as one of the most crucial tasks in computer vision. It is originated from the object recognition of still objects. Moving target detection is still far from being completely solved due to complex conditions, such as transformed background and changing light. In this research, some classical moving target detection methods have been summarized, and a new inter-frame difference algorithm for moving target detection is proposed. The proposed method is based on a two-frame-difference method using texture features and color features. The method can be used to detect moving targets under a background with a little perturbation. The experimental results show that combining the texture features and color features can improve the performance in the moving target detection.