A Line Model based approach for monkey intrusion detection

Animal intrusion detection is a major application in human habitats like institutions and agricultural fields to ensure safety and security to the life and assets of human. In this paper, a new image processing method is proposed to detect the presence of animals using Line Model Approach based on their skeletons. In this new frame work, the simple Background subtraction followed by a fast Star Skeletonization algorithm is performed to obtain the skeleton of the object. A novel Line Model is derived from the skeleton of the object. Based on the Line Model, the object is classified into animals and human. Since, the proposed method works on the low quality images and performs faster on intermittent frames, it finds application in real time animal intrusion detection scenario.