We present a new fast algorithm for background modeling and subtraction. Sample background values at each pixel are quantized into codebooks which represent a compressed form of b...
Kyungnam Kim, Thanarat H. Chalidabhongse, David Ha...
In this paper a head tracking algorithm using 3D data is described. The system relies on a novel 3D sensor that generates a dense range image of the scene. By not relying on brigh...
This paper presents an efficient method to integrate various spatial-temporal constraints to regularize the contour tracking. The global shape of the contour is represented in a p...
We pmpose a heuristic approach for detection ofeyes in close-up images. The experimental images are stereorypiral mug shot faces which can be expected in applications offace recog...
Thilak R. Kumar, S. Kumar Raja, A. G. Ramakrishnan
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...