Road pedestrian event detecting method based on movement trajectory analysis
A motion trajectory and event detection technology, which is applied in image analysis, computer components, image data processing, etc., can solve the problems of not meeting the real-time detection requirements, complex video data processing process, poor reliability, etc., and achieve short detection time, Accurate, easy-to-achieve effects
Active Publication Date: 2013-06-12
西安德为视通智能科技有限公司
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Problems solved by technology
Although these methods can realize the alarm of pedestrian events, the processing process of video data is complicated, the reliability is poor, and it cannot meet the real-time requirements of detection and the requirements of practical applications.
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[0076] The sampling frequency of the video during the processing in the embodiment is 25 frames per second, the image size of each frame is 720×288, and the size of each block area is 8×6, the frame image is divided into 90×48 block areas, and the target area is binary The segmentation threshold A is 576, the threshold B ranges from 2 to 10, the threshold T value is 180, the threshold C value is 60, and the threshold D ranges from (0.3 to 2.0) m / s, such as Figure 1 to Figure 8 As shown, following the above method, the images from the first frame to the sixtieth frame are sequentially processed.
[0077] from Figure 6 It can be seen that the white line in the figure is the motion trajectory of the pedestrian from the first frame to the 60th frame. The lower end of the trajectory is the position of the feature point found when the pedestrian enters the scene for the first time, and the uppermost end point is the feature found by matching the 60th frame. point.
[0078] Fig...
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The invention provides a road pedestrian event detecting method based on movement trajectory analysis. Background pieces which have the same positions of a piece in a background image are found through each piece in a area image, wherein the area image is divide into a plurality of pieces. Absolute value sum of gray level difference values is calculated and the gray level values are assigned. A target piece is confirmed, the best angular point is searched, and a feature point is obtained. Meanwhile, a target structure body is created and feature point positions are recorded and matched tracking counter information. A template is used for searching in a present frame image and the process is repeated. A target tracking trajectory is obtained. An actual distance which corresponds to the tracking trajectory is obtained by looking up a mapping table. The speed of the tracking path is obtained. Whether the target is a road pedestrian or not is judged. The road pedestrian event detecting method based on the movement trajectory analysis can detect all pedestrian targets in a video scale. The road pedestrian event detecting method based on the movement trajectory analysis is short in detecting time, easy to achieve and high in accuracy. The road pedestrian event detecting method based on the movement trajectory analysis can not be limited by environments. The road pedestrian event detecting method based on the movement trajectory analysis is suitable for detecting pedestrian events in real time and has a wide application prospect.
Description
technical field [0001] The invention belongs to the field of video detection, and in particular relates to a method for detecting road pedestrian events based on motion trajectory analysis. Background technique [0002] The road pedestrian incident refers to the behavior of pedestrians entering the motor vehicle lane without any protective measures and interfering with the normal driving of motor vehicles. Although the traffic control department has taken measures, the situation of pedestrians breaking into motor vehicle lanes occurs from time to time, which is very dangerous, easily causes traffic jams, and even leads to traffic accidents, which seriously affects people's normal life. Traditional detection methods for pedestrian incidents mainly include temperature detection methods, electronic coil detection methods, and digital video detection methods. Among them, temperature detection methods are easily interfered by vehicles; electronic coils have poor scalability, and ...
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Inventor 宋焕生张骁徐晓娟李文敏闫国伟刘冬妹
Owner 西安德为视通智能科技有限公司