System and method for dynamic tracking of object behavior in video based on behavioral line model

Abstract

A system and method for dynamic tracking of object behavior in video based on behavioral line model, comprising: a data receiving and converting module, a corner extraction module, an optical flow calculation module, a corner distance detection module, an image rendering module and a result which are connected in sequence Output module, the present invention obtains the initial corner point of the first frame image in the video through the corner point detection algorithm, and then iteratively uses the previous frame, the current frame image and the corner point of the previous frame as the input of the optical flow tracking algorithm to calculate the current The corresponding corner points of the frame image are screened according to the distance between the corresponding corner points of two consecutive frames of images, and the line is drawn according to the front and rear frame corner points to realize the tracking of optical flow; the dynamic tracking of the target is realized by looping the corner points and lines. The invention can record the behavioral trajectory under the condition that the subject participates in the experiment unconsciously, without the need to select the experimental participant group subjectively, and greatly reduces the workload and the consumption of manpower and material resources. Application scenarios can be easily migrated, and can theoretically be used for line tracking of any video moving objects.

Description

technical field [0001] The present invention relates to a technology in the field of image processing, specifically a behavioral line model based on an optical flow tracking algorithm, for capturing, tracking and extracting motion trajectories of objects, especially pedestrians, in videos of fixed scenes systems and methods. Background technique [0002] Most empirical studies have relied on data collected through controlled laboratory experiments to derive some correlations with different geometric planning designs, simulated bottleneck-shaped paths, cross-shaped paths, fork-road-merging paths, and curved paths. . In addition to walking under normal conditions, some studies have simulated walking under different stress levels, such as walking at higher endurance speeds, and walking under exit conditions, and also through this kind of human trials based on controlled experiments Were studied. But a key shortcoming of these means of data collection through controlled-varia...

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Problems solved by technology

Furthermore, experimental participants are usually students, who may not represent an average sample of real-world populations

Therefore, there may be some bias in this laboratory data set

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