A novel spatial-temporal multi-scale method for detection and analysis of infrared multiple moving objects

In this paper, a novel spatial-temporal multi-scale method (STMSM) is proposed to solve the problem of detecting multiple moving objects on complex background. Moving objects have multi-scale features both in spatial and temporal domain. The motion salience sub-spaces determine the moving features including position, size and trajectory of each moving object, then the problem of detecting moving objects can be transformed into searching optimal sub-spaces with different scales. This paper proposes a recursive algorithm for estimating motion salience in 3D space and an optimal determinant criterion. These can detect multiple objects at different spatial-temporal scales and extract their features on complex background. The experimental results show this method is effective in detecting multiple moving objects.