A crowd detecting and tracking algorithm based on projection of grayscale image

In this paper, an effective algorithm is developed to detect and track multiple people in a specific area. It advances a target detecting algorithm based on projection of grayscale image, while specifying a value function uniting the features which are relatively unchanged for target tracking. Based on our algorithms, the result indicates a system that relatively needs less operations while the precision and efficiency are improved. The system has a certain self-adaptive capability.