Scene Segmentation from Visual Motion Using Global Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
An HMM-Based Segmentation Method for Traffic Monitoring Movies
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper proposes a new algorithm for detecting vehicles from an image. An image is at the first segmented into regions by using not only color information but also Gabor transformation of grayscale image. Second, candidate regions corresponding to a vehicle are extracted using affine moment invariants. Third, a true region for a vehicle is selected from candidate regions using normalized cumulative histogram of grayscale in a window which is set for a candidate region of interest, and from the selected region the area of a vehicle is detected.