Block Matching for Object Tracking

Abstract

Models which describe road traffic patterns can be helpful in detection and/or prevention of uncommon and dangerous situations. Such models can be built by the use of motion detection algorithms applied to video data. Block matching is a standard technique for encoding motion in video compression algorithms. We explored the capabilities of the block matching algorithm when applied for object tracking. The goal of our experiments is twofold: (1) to explore the abilities of the block matching algorithm on low resolution and low frame rate video and (2) to improve the motion detection performance by the use of different search techniques during the process of block matching. Our experiments showed that the block matching algorithm yields good object tracking results and can be used with high success on low resolution and low frame rate video data. We observed that different searching methods have small effect on the final results. In addition, we proposed a technique based on frame history, which successfully overcame false motion caused by small camera movements.

Overview of Object Detection and Tracking based on Block Matching Techniques

“…Block matching is a standard technique for encoding motion in video compression algorithms and explores the abilities of the block matching algorithm when applied for obcect tracking [15]. Gyaourova et al [15] carried out an experiment to reach goal having two aspects: (i) exploring the performance of the motion estimation algorithm and (ii) improving the motion estimation/detection performance by using different block matching algorithms (BMA) for gaining good obcect tracking results.…”

Passenger Abnormal Behaviour Detection using Machine Learning Approach

“…This image data can be analyzed to perform analysis using anomaly detection techniques and further persons with anomalous behavior can be detected for further investigation. Various studies on anomaly detection using image data exist in the literature [16][17][18][19][20][21][22][23][24][25]. In this study, security issues and maintenance of a bus station is the primary focus.…”

Stereo Matching Method and Height Estimation for Unmanned Helicopter

“…It only depends on the camera internal parameters and relative position. The second method is block matching algorithm (Gyaourova et al, 2003;Liang & Kuo, 2008;Tao et al, 2008). The block matching algorithm (BMA) is provided for searching the corresponding points with a low resolution image.…”