Object Tracking on Joint Color Texture Histogram using LBP

Object tracking discovers its appliance in various computer vision appliance, such as video compression, surveillance, robotics etc .like human life is very precious hence under some restricted areas we can apply computer vision technique to avoid death of human being. In region based object tracking, color and texture characteristics are considered. These features can quickly and approximately locate objects. In boundary situated object tracking, edge and frame difference characteristics are included. The main intention of object tracking is separating a ROI(region of interest) from a video clip and carryout track of its movement, location and occlusion. The object discovery and object categorization are previous footprint for tracking an object in series of images. Object detection is carried out to check presence of objects in video and to exactly locate that object. In static surrounding segmentation of object is easy. In dynamic surrounding due to changing in the environmental conditions like as intensity changes, shadows and sudden changes in sequence of images. Adopting the Texture operator local binary patterns(LBP) in this paper with the help of Mat lab.