Pedestrian flow monitoring method based on pedestrian detection and tracking

A pedestrian detection and crowd flow technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve the problems of low detection accuracy and slow detection speed, and achieve high detection accuracy, fast detection speed, and fast pedestrian tracking Effect

Active Publication Date: 2013-12-04
ZHEJIANG UNIV +1
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Problems solved by technology

[0005] The purpose of the present invention is to provide a pedestrian flow monitoring method based on pedestrian detection and tracking, aiming at the defects of low detection accuracy and slow detection speed of the current pedestrian detection method, which is applied to the statisti

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  • Pedestrian flow monitoring method based on pedestrian detection and tracking
  • Pedestrian flow monitoring method based on pedestrian detection and tracking

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[0035] The present invention will be described in detail below with reference to the accompanying drawings, and the objects and effects of the present invention will become more apparent.

[0036] The pedestrian flow monitoring method based on pedestrian detection and tracking of the present invention is figure 2 It is implemented on the people flow monitoring system shown. The flow monitoring system includes: a video input device and a control center, and the video input device and the control center are connected through a LAN network port.

[0037] Video input device: There can be one or more video input devices required by the system. The video input device can be a surveillance camera or a traditional camera. The resolution of the camera is required to be higher than 320*240, the frame rate is higher than 15FPS, and the pixel depth is not lower than RGB888. The camera is three to five meters above the ground, and the shooting angle is thirty to sixty degrees diagonally ...

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Abstract

The invention discloses a pedestrian flow monitoring method based on pedestrian detection and tracking. The method includes: acquiring and decoding a camera video stream to obtain single-frame RGB images, performing pedestrian detection on each image frame to obtain a group of pedestrian positions, calculating similarity, matching the pedestrians of every two adjacent image frames so as to track the pedestrians and obtain motion trajectory of each pedestrian, setting detection lines in the monitoring video, and judging pedestrian flow in different directions through the obtained pedestrian trajectories. The method is based the latest developments of pedestrian detection in computer vision, high in detection accuracy, fast in detection and promising in development prospect. By combining the method with a fast tracking method based on similarity and using a multi-scale detection method from sparsity to density, detection speed is further increased, fast pedestrian tracking is realized, detection and tracking speed can reach 10FPS on a current common computer, and practical level is reached.

Description

technical field [0001] The invention belongs to the technical field of video image processing and pattern recognition, and in particular relates to a pedestrian flow monitoring method based on pedestrian detection and tracking. Background technique [0002] Human body or pedestrian detection and tracking technology has a wide range of application values ​​in the fields of car assisted driving and video surveillance. In the process of driving, serious pedestrian injury accidents may be caused due to bad weather or driver fatigue and negligence. Therefore, there is an urgent need for assisted driving technology that can automatically detect pedestrians and remind the driver, and this assisted driving is required. The technology is able to detect pedestrians as quickly and accurately as possible. [0003] In the field of video surveillance, traditional video surveillance methods require specific personnel to review the content captured by video surveillance cameras to complete...

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Application Information

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IPC IPC(8): G06K9/00G06T7/00
Inventor 陈奇朱力王熳张冰王志鹏胡斌江洁羽
Owner ZHEJIANG UNIV
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