Automated behavioral and cognitive testing of multiple mice in their home environment is a challenging task requiring fast identification of identical objects for online control of environment. The realization of such tracking system is very important for drug development and neuroscience research. This paper focuses on development of a computationally efficient algorithm that tracks and identifies multiple mice with in the temporal constraints of frame-by-frame video analysis. Our system is able to automatically track the landmarks of multiple mice frame by frame and find the identity by searching the metal tags around the ear positions.