Road pedestrian and non-motor vehicle detection method based on video analysis
A non-motor vehicle and video analysis technology, which is applied in image analysis, computer parts, image data processing, etc., can solve problems such as inability to meet real-time requirements, low detection accuracy of video images, and inability to detect pedestrians and non-motor vehicles. Achieve the effects of reducing computational complexity, improving detection efficiency and accuracy, and fast calculation speed
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[0065] Example 1, see figure 1 As shown, this embodiment provides a method for detecting road pedestrians and non-motor vehicles based on video analysis, including:
[0066] The step of setting the detection area, and dividing the detection area into a target entry area and a target tracking area. By setting the detection area, it is divided into a target entry area and a target tracking area. The target entry area adopts a target tracking algorithm and a pattern recognition algorithm. Detecting the target, the target tracking area only uses the target tracking algorithm to detect the target. Among them, the target movement and the target static state are analyzed through the target tracking trajectory. The moving state is only detected in the moving area, and the static state is only detected in a small area. , in this way, the motion area is used to reduce the detection range, and it is avoided that only the motion area is analyzed and the stationary target tracking fails. ...
Example Embodiment
[0076] In the second embodiment, the step of setting the detection area, the step of calibrating the scale model, and the step of detection in this embodiment are the same as those described in the first embodiment, and will not be repeated here. Since the tracking target may be blocked by obstacles or go out of the screen range, in order to further analyze and judge the tracking target, see figure 1 As shown, after step (3), it also includes:
[0077] Step (4): judging the disappearance of the tracking target. If the existing tracking target is not matched, first judge whether the disappearance condition is met according to its location. If the disappearance condition is met, then perform target analysis to analyze the movement of the tracking target. Track and movement speed, judge and output the type of the tracking target again. When the target is about to leave the detection area, analyze the characteristics of the target's running trajectory, speed, etc., and finally de...
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