Fuzzy Rule-based Classification of Human Tracking and Segmentation using Color Space Conversion

The HSV give more accurate and more robust tracking results compared to grayscale and RGB images. A simple HSV histogram-based color model is used to develop our system. First, a background registration technique is used to construct a reliable background image. The moving object region is then separated from the background region by comparing the current frame with the constructed background image. This paper presents a novel human motion detection algorithm that based regions. This approach first obtains a motion image through the acquisition and segmentation of video sequences. In the situations where object shadows appear in the background region, a pre-processing median filter is applied on the input image to reduce the shadow effect, before major blobs are identified. The second step is generating the set of blobs from detected varied regions in the each image sequence.

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