We present a maximum a posteriori solution to the problem of obtaining a high-resolution image from a set of degraded low-resolution images of the same scene. The proposed algorit...
In this paper we propose a trajectory clustering algorithm suited for video surveillance systems. Trajectories are clustered on-line, as the data are collected, and clusters are o...
This paper proposes a new method of image thresholding by using cluster organization from the histogram of an image. A new similarity measure proposed is based on inter-class vari...
Image matching is a stage one performs as soon as one has two images of the same scene, taken from two different points of view. Matching these images is to find the mathematical ...
We propose to use learning vector quantization (LVQ) in novelty detection where a few outliers exist in training data. The codebook update of original LVQ is modified and the sche...