NDLI: An occlusion tolerent method for multi-object tracking

Content Provider	IEEE Xplore Digital Library
Author	Hong Lu Shumin Fei Jianyong Zheng Tao Zhang
Copyright Year	2008
Description	Author affiliation: Sch. of Autom., Southeast Univ., Nanjing (Hong Lu; Shumin Fei)
Abstract	A novel approach is proposed for tracking occluded vehicles in real road traffic environment. The third-level DWT is inducted into background difference to filter the high frequency noises in the background, decrease the resolution of frame and detect motion regions. A scene model and a box adjustment model are built to help predict and interpret the occlusion and tracking procedure. A 2-dimensional bounding box is used to represent vehicle, Kalman filter and weighted scale parameter to predict whose center position and motion. The final predictive vehicle-region is estimated using partial observations and adjusting unobservable bounding edges. The center of this new vehicle-region will be feedback to the Kalman filter as the measurement to modify the Kalman gain and estimate the optimum position. The proposed method is an efficient tracking algorithm, as shown in some experiments with real traffic scenes.
Starting Page	5105
Ending Page	5110
File Size	687163
Page Count	6
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4593758
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tracking Discrete wavelet transforms Kalman filters Optical filters Vehicles Image edge detection Algorithm design and analysis Kalman filter Occlusion Multi-object Tracking DWT Partial observation
Content Type	Text
Resource Type	Article

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