Abstract—This paper addresses the problem of counting the number of object in an image frame. This paper presents a human detection model, that is designed to work with object. The system proposed does learning through templates. The model makes use of Haar based features to form templates performs matching of Haar-transformed images. Object can be detected irrespective of the texture and color of their clothing as well as orientation.

Index Terms—Object detection, hear templates, object counting.

The authors are with the Computer Science Department, Nirma Institute of Technology, Ahmedabad, India (e-mail: chirag453@gmail.com,ripalpatel315@gmail.com).

Cite: Chirag. I. Patel and Ripal Patel, "Object Counting in Video Sequences," International Journal of Computer and Electrical Engineering vol. 4, no. 4, pp. 522-524, 2012.