Detection and tracking of multiple moving objects in video

This paper presents a method for detecting and tracking multiple moving objects in both outdoor and indoor environments. The proposed method measures the change of a combined color-texture feature vector in each image block to detect moving objects. The texture feature is extracted from DCT frequency domain. An attributed relational graph (ARG) is used to represent each object, in which vertices are associated to an object's sub-regions and edges represent spatial relations among the sub-regions. Object tracking and identification are accomplished by matching the input graph to the model graph. The notion of inexact graph matching enables us to track partially occluded objects. The experimental results prove the efficiency of the proposed method.