Visual Attention Based Salient Object Motion Detection in Spatio Temporal Volume

260 Abstract—We present different visual attention based salient object detection methods for effectively detecting object in structured environment. Human brains pay more attention towards some important part of image sequences. Those attentions are extraordinary fast and realistic one. Computation of such salient object detection like intelligence behavior is very difficult task for implementation. We plan to explore the area of computer vision to create a study of salient object detection models based on visual attention. The problems of visual attention based salient object detections are mainly studied by researchers include neural system, physiology; computer vision etc has received much attention over the past few years. There are wide ranges of applications in salient object detections like traffic rule violation detection, object tracking and security surveillances, human action prediction recognition etc. Recent studies demonstrated that it can also be applied in robotic navigation as well in different perspective and object detection in multi dimensional space together with cues for human activity recognition and event understanding.