Detection and Tracking of Human Beings in a Video Using Haar Classifier
K. Visakha, Sidharth S Prakash · 2018 International Conference on Inventive Research in Computing Applications (ICIRCA) · 2018
Detection and tracking of moving objects has immense relevance when it comes to tasks such as video surveillance and computer vision applications. The design of a video surveillance system is directed on automatic identification of events of interest, especially on tracking and classification of moving objects. A video surveillance system consists of three phases: moving object recognition, tracking, and decision making. This paper focuses on detection of human beings in a scene, and tracking those people as long as they stay in the scene by identifying individual persons. Automating the video surveillance process will help in effortless monitoring of the sensitive areas with less human resource utilisation.