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Real-Time Tracking of Multiple Moving Object Contours in a Moving Camera Image Sequence
Shoichi ARAKI Takashi MATSUOKA Naokazu YOKOYA Haruo TAKEMURA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2000/07/25
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Image Processing, Image Pattern Recognition
moving camera image, motion estimation, robust estimation, active contour model, realtime object tracking,
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This paper describes a new method for detection and tracking of moving objects from a moving camera image sequence using robust estimation and active contour models. We assume that the apparent background motion between two consecutive image frames can be approximated by affine transformation. In order to register the static background, we estimate affine transformation parameters using LMedS (Least Median of Squares) method which is a kind of robust estimator. Split-and-merge contour models are employed for tracking multiple moving objects. Image energy of contour models is defined based on the image which is obtained by subtracting the previous frame transformed with estimated affine parameters from the current frame. We have implemented the method on an image processing system which consists of DSP boards for real-time tracking of moving objects from a moving camera image sequence.