Abstract—The main objective of this paper is to design a moving object detection model which can handle quick changes in illumination conditions. Two approaches were used for this purpose. First approach divide distortion in an image as color and brightness distortion then pixel having color distortion above a certain threshold value are classified as foreground pixels and rest as background. Second approach combines GMM with the fact that edges and gradient information remains invariant during illumination change. First model gives appreciable results while second model doesn't show much improvement over GMM.

Index Terms—Video processing, gaussian mixture model, color and brightness distortion, object detection.

Chirag I Patel is with Computer Science Department, Nirma Institute of Technology, Ahmedabad, India (e-mail: chirag453@gmail.com)
Ripal Patel is with Electronics & Commu. Department, Dharmsinh Desai institute of technology, Nadiad, India (email:ripalpatel315@gmail.com)

Cite: Chirag I. Patel and Ripal Patel, "Illumination Invariant Moving Object Detection," International Journal of Computer and Electrical Engineering vol. 5, no. 1, pp. 73-75, 2013.