Wangsiripitak, Somkiat
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Wangsiripitak, Somkiat
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somkiat.wa@kmitl.ac.th
3 results
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Item type:Publication, Feature-based motion detection and tracking on approximate 3D ground plane(2017-01-04); Pluempitiwiriyawej, CharnchaiThe success of movement detection based on the distance moved in a 2D image sequence depends highly on the angle between a camera's optical axis and the normal vector of the ground plane on which the moving object is traveling. When the same 3D displacement occurs at various positions in the scene, the higher the angle is, the greater the distance observed in the image at a position close to camera differs from (strictly speaking, is larger than) those happening at the far end. As a consequence, a detection failure and/or false alarm may occur if no such 3D geometry is utilized. This paper estimates a 3D ground plane, which is then used to measure the approximate 3D displacement of features being detected and tracked. The 3D distances are therefore available and utilized in deciding whether they are of moving objects or just blinking features caused by illumination changes. FAST points are used to enhance a real-time system. Experimental results show superior performance in tracking: a longer trace of continuous tracking, a higher number of detected moving features, earlier detection, better recall rate, no misses, and no false alarms. A SURF descriptor and FLANN matcher were utilized here, however the robustness was not much enhanced when compared to the expense of finding the best match. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Tracking-based human entry/exit detection on various video resolutions (A study on parameter effects)(2015-01-01); A real-time tracking-based change detection using FAST features and a background feature model are proposed as a base system for detection of human entrance and exit. A speedy FAST feature extraction and tracking has to trade-off its accuracy, which sometimes causes a failure in human entrance/exit detection. Many video sizes are therefore tested in the system to examine the trade-off effects on the accuracy of feature extraction, tracking, and entry/exit detection. Tracking parameters are also investigated to determine the optimal values for each video resolution, such that stable tracking and detection are achieved. Experimental results show that the higher the video resolution is the more the error is likely to happen. Instability of feature extraction and position which increases in higher resolution is proved to be the main reason of failure. Increasing the number of previous images used in the update of background feature model, proportional to the resolution of video, takes into account the feature uncertainty. As the result, the proposed method is robust to changes in video resolution and runs at 30 fps without a miss of human entrance/exit detection and false alarm. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Real-time monocular human height estimation using bimodal background subtraction(2017-12-19); Saelao, WongsatornA human height is one property used in conjunction with others for person identification. The method of human height estimation, using only one camera and some simple settings on the floor, is proposed to automatically determine the vertical distance of human head from the ground in real-time. Bimodal background subtraction technique helps locate the position of head top and lower foot bottom in each image frame, and the upright distance from the lower foot to the position closest to the head top is defined as the candidate of human height in the corresponding frame. A distribution of all heights estimated so far is finally used to determine the height of human in that frame. The proposed method establishes the range of possible heights from all frames in real-time - this information potentially helps increase the performance of automatic person identification in surveillance system.