Method for structured storage and pre-retrieval of pedestrian data in surveillance videos

Abstract

The invention discloses a method or structured storage and pre-retrieval of pedestrian data in surveillance videos. The method includes: firstly, during acquisition of the surveillance videos, detecting out pedestrians in the videos according to an in-video pedestrian detection method, recording coordinates and appearance time information of the pedestrians, and extracting color histogram features of the pedestrians; secondly, taking the color histogram features as indexes to subject the pedestrian data to structured storage, and correlating the pedestrian data with original video data. When retrieval of a pedestrian target in the surveillance videos is required, appearance time and position of the pedestrian in the surveillance videos can be positioned quickly and roughly only by inputting color histogram information of the pedestrian.

Description

technical field [0001] The invention mainly relates to the field of intelligent monitoring, in particular to a method for structured storage and pre-retrieval of pedestrian data in monitoring video. Background technique [0002] With the rapid development of network technology and high-definition camera technology, video surveillance is widely used in the security work of banks, squares, intersections, residential areas and other places. By recording videos in corresponding places around the clock, it provides a comprehensive solution for the accountability of accidents and the detection of criminal cases. important data support. But at the same time, due to the lack of intelligence of the traditional video surveillance system, it is necessary for the staff to continuously observe the dynamics in the surveillance scene, or rely on a large amount of manpower to browse the video data after the accident, and search for the accident or criminals. Time slices have great requirem...

AI Technical Summary

Problems solved by technology

[0005] (1) Video data generally needs to be compressed and stored. When the compression rate is too high, it will affect the video clarity and reduce the reliability of video data; Surveillance video storage cycle

[0006] (2) When the monitoring data is saved in a simple video format, a large amount of prior information is lost, the computing resources when collecting the video are wasted, the automation of monitoring data retrieval is hindered, and a large amount of human resources are wasted.

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