Pedestrian tracking method of single camera

A pedestrian tracking, single camera technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problem of interruption of pedestrian trajectories and achieve the effect of improving target confusion

Active Publication Date: 2017-05-17
SUN YAT SEN UNIV
View PDF7 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This strategy can well solve the problem of trajectory interruption cau

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Pedestrian tracking method of single camera
  • Pedestrian tracking method of single camera
  • Pedestrian tracking method of single camera

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0068] The pedestrian tracking method of the single camera provided by the present invention, such as figure 1 , 3 , 4, including the following steps:

[0069] S1. The video image is detected, and the detected pedestrian is called an observation target;

[0070] S2. Assuming that n observation objects are detected in the current frame t, the features of the n observation objects are extracted;

[0071] S3. Set in the current frame t, there are several motion trajectories before the current frame t, T={d s , d s+1 ,...,d e} represents a motion trajectory, where s and e are the starting and ending moments of the trajectory T respectively; for the motion trajectory Select the observation target that may be associated in the current frame t through the position constraints, and then calculate the motion trajectory T i The similarity with the observed target that may be associated will be related to the motion trajectory T i The observation target with the highest similarit...

Embodiment 2

[0121] In this example, the method provided in Example 1 is specifically tested. This test uses two videos of different densities in the PETS2009 database, namely S2L1 sequence and S2L2 sequence, and compares it with the current highest level method. method one [1] An energy function containing physical constraints and image evidence is constructed, and the target trajectory is found by optimizing the continuous energy function. Method Two [2] It is a method based on graph theory optimization to complete the matching of observation targets by constructing a hypergraph with undirected hierarchical associations. The performance evaluation indicators and their meanings are as follows, where "↑" indicates that the larger the value, the better the tracking result, and "↓" indicates that the smaller the value, the better the tracking result:

[0122] Label switching number (IDs↓, ID Switch), the sum of label switching times of the same real target.

[0123] The number of interrup...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a pedestrian tracking method of a single camera. The method adopts a hierarchical tracking strategy. Firstly, detection targets are linked into stable and reliable short segments of movement tracks, and then a final tracking track is formed by matching the short segments of the movement tracks and filling blank segments between the short segments of the movement tracks. The hierarchical tracking strategy helps solve the problem of track interruption caused by short time of blocking of pedestrians in the tracking process. In the constructions of the short segments of the movement tracks, the method proposes a two-step matching method based on a cascading idea. Firstly, a high-efficient histogram matching method is used to deal with a condition of small matching difficulty, and then a robust sparse representation classifier is adopted to solve the aliasing problem caused by target apparent similarity. In the matching of the short segments of the movement tracks, a method of trajectory distance measurement based on sparse representation is proposed, which has the preferable robustness to the apparent change of target caused by environment change and target deformation. Furthermore, a track matching method, with small computation, based on hierarchical clustering, is also proposed, thereby improving the efficiency of the global multi track matching.

Description

technical field [0001] The invention relates to the field of intelligent security, and more specifically, to a pedestrian tracking method with a single camera. Background technique [0002] As a promising technology in the field of security, intelligent video surveillance needs to track, detect, identify and analyze the behavior of the target of interest in the video. Multi-target tracking technology needs to detect the trajectories of multiple targets from the scene video to provide a basis for target behavior analysis. At the same time, collecting and analyzing pedestrian trajectory data from video recordings can provide more useful information for facility planning, and even discover potential commercial value. Therefore, the realization of intelligent multi-target tracking has broad application prospects. [0003] The multi-target tracking method based on multi-camera has certain advantages in solving the problem of target occlusion. Such methods generally use multi-e...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00
CPCG06V40/10G06V20/41
Inventor 郑慧诚林梓健马东宏
Owner SUN YAT SEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products