A Robust Algorithm for Multiple Moving Targets Tracking

Yang Ming He; Yan Qiu He; Guang Yao Xiong; Ming Feng Zhu

doi:10.4028/www.scientific.net/AMM.556-562.2638

Paper Titles

Design and Implementation of Vehicle Monitoring System Based on the Compatible Interface of Web Map
p.2619

Research and Design of License Plate Recognition System
p.2623

MapReduce-Based Parallel Linear Regression for Face Recognition
p.2628

A Research of MM-SVM Technique for Fault Diagnosis
p.2633

A Robust Algorithm for Multiple Moving Targets Tracking
p.2638

Software Design of Measurement and Control Device for Smart Grid Based on Embedded Operating System
p.2642

A Randomly Permuted Fourier Measurement Matrix for UWB-PPM Signals
p.2646

Countdown Frequency Measurement and its Application in Radar AFC
p.2650

Non-Contact Measurement Device Based on Ultrasonic Technology
p.2654

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562A Robust Algorithm for Multiple Moving Targets...

A Robust Algorithm for Multiple Moving Targets Tracking

Abstract:

An algorithm for multiple moving targets tracking in computer vision is put forward in this paper. The association between the tracking chains and new targets detected is mainly discussed. There are four situations. Among them, the most complicated is that several tracking chains exist and several new targets are detected. The distance between new targets and old targets is used to determine whether they are the same targets. When the tracking chain is found broken, it is seen that the target has passed the monitoring area, and begins to count. In the paper, the program code is shown, too. In the end of the paper, real images on the spot are used to test the algorithm. Its good effect can be proved from practical spot.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

2638-2641

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.2638

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Online since:

May 2014

Authors:

Yang Ming He, Yan Qiu He, Guang Yao Xiong*, Ming Feng Zhu

Keywords:

Kalman Filter, Moving Targets Tracking, Passenger Statistics on Bus

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* - Corresponding Author

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