Pedestrian detection tracking system and method based on mechanical arm

Abstract

The invention discloses a pedestrian detection tracking system and method based on a mechanical arm. The system comprises a video image acquisition unit, a pedestrian detection and positioning unit, an image video processing unit, a video image display unit and a mechanical arm control unit. The video image acquisition unit is used for acquiring a video image of a target area in real time by using a camera and a mechanical arm connected with the camera; the pedestrian detection and positioning unit is used for preliminarily identifying and positioning a real-time video target image by using a pre-trained pedestrian detection model to obtain data containing a pedestrian image; the image video processing unit is used for locally storing effective image videos in real time; the video image display unit is used to display the integrated image processed by the camera and the algorithm on an interface in real time; the mechanical arm control unit is used for filtering and screening the collected pedestrian information and correspondingly transmitting the pedestrian information to the steering engine control module, and real-time control over a mechanical arm is conducted through a PID algorithm, so that accurate tracking of pedestrians is achieved.

Description

technical field [0001] The invention belongs to the technical field of pedestrian detection and target tracking, and more specifically relates to a pedestrian detection and tracking system and method based on a mechanical arm. Background technique [0002] At present, in the field of computer applications, pedestrian detection has a very wide range of applications, such as vehicle assisted driving systems, intelligent video surveillance, robots, aerial images, human-computer interaction systems, motion analysis, etc. Pedestrian detection systems have also become a research and development hotspot in recent years. In addition, safety accidents of staff working outdoors occur from time to time, and many factors, such as illegal operations or insufficient safety supervision by supervisors, will lead to extremely serious safety accidents. Traditional machine supervision benefits from the extensive surveillance camera network , many intelligent analysis algorithms can directly a...

AI Technical Summary

Problems solved by technology

In this way, it is necessary to start complex detection and analysis of the foreground, and search for dynamic targets based on the results. The calculation cost is large and requires more preparation time, and multiple area detection calculations are required, and the algorithm is more complicated.

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