Efficient Segmentation and Detection of Object in Complex and Crowded Scene
DOI:
https://doi.org/10.51983/ajcst-2016.5.2.1770Keywords:
Stereo vision, ROI, Noise artifacts, morphological operation, height map, occupancy map, object detectionAbstract
This paper intends to develop a technique to extract the moving object by using temporal differencing. Initially the stereo images are captured from vicon camera and the images are cropped as per the requirement. Next interested ROI is selected to extract the object is a particular scene. The noise that are present in the cropped images are removed with the help of filters. The objects are detected by considering height and occupancy of the object in a given scene. After obtaining the objects, morphological operations are applied and finally the objects are detected. It is applicable in verities of applications in real time.
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