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Multiple Target Tracking using Target Feature Information
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 Title & Authors
Multiple Target Tracking using Target Feature Information
Kim, Sujin; Jung, Young-Hun; Kang, Jaewung; Yoon, Joohong;
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This paper presents a multiple target tracking system using target feature information. In the proposed system, the state of target is defined as its kinematic as well as feature : the kinematic includes a location and a velocity; the feature contains the image correlation between a prior target and a current measurement. The feature information is used for generating the validation matrix and association probability of joint probabilistic data association (JPDA) algorithm. Through the Kalman filter, the target kinematic is updated. Then the tracking information is cycled by the track management algorithm. The system has been evaluated using the images obtained from Electro-Optics/ InfraRed (EO/IR) sensor. It is verified that the proposed system can reduce the complexity burden of JPDA process and can enhance the track maintenance rate.
Multiple Target Tracking (MTT);Target Feature Information;Joint Probabilistic Data Association (JPDA);Image Correlation;
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