Video-based multi-target pedestrian detection and tracking method

A pedestrian detection, multi-target technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problem of high dependence on detection results, affecting the effect of multi-target tracking, and target detection.

Active Publication Date: 2020-05-08
STATE GRID INFO TELECOM GREAT POWER SCI & TECH
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Problems solved by technology

The tracking process of the detection-based multi-target tracking method can be transformed into a data association problem. This method is highly dependent on the detection results, and complex backgrounds and occlusions between targets will have a greater impact on target detection, which in turn will cause data association problems. At the same time, the target model relied on to establish an accurate correspondence between multiple detection values ​​and multiple tracking values ​​will also greatly affect the effect of multi-target tracking

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  • Video-based multi-target pedestrian detection and tracking method
  • Video-based multi-target pedestrian detection and tracking method

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Embodiment Construction

[0020] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0021] The invention discloses a video-based multi-target pedestrian detection and tracking method, such as figure 1 Shown, a kind of method based on video multi-target pedestrian detection and tracking is characterized in that, comprises the steps:

[0022] Step 1: Use the collected video images to train the pedestrian detection model. First, separate each frame of the video image, and then use the trained detection model to directly detect the confidence and bounding box information of all pedestrian targets at the image layer. When the confidence When the degree is greater than the set threshold, it is considered to be a pedestrian target and the target frame is retained. The non-maximum suppression algorithm is used to remove redundant frames, and the final detection target candidate frames are obtained.

[0023] Step 2: According to the pedestrian targ...

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Abstract

The invention discloses a video-based multi-target pedestrian detection and tracking method. A YOLO3 target detection algorithm with good speed and accuracy is utilized, video images under different scenes are constructed, and a detection model is trained, so that the influence of illumination change and visual angle change is overcome, and efficient detection of multi-target pedestrians is ensured; the multi-target pedestrian is effectively tracked based on the Kalman filtering algorithm and the Hungary algorithm effectively tracks, the problem that repeated target detection often exists in multi-target detection is avoided, thereby realizing the multi-target pedestrian tracking method taking the Deep-SORT algorithm as the core. The method has the characteristics of efficient multi-targetpedestrian detection and efficient multi-target pedestrian tracking.

Description

technical field [0001] The present invention relates to a computer vision system, more specifically it relates to a computer vision-based detection and tracking method. Background technique [0002] Pedestrian detection and tracking refers to the process of detecting the position information of pedestrians from video sequences, and continuously tracking the moving pedestrian targets to determine their trajectory. Pedestrian detection is the basis and premise of pedestrian tracking, so a good pedestrian detection algorithm can provide strong support and guarantee for the latter. Pedestrian detection belongs to the category of target detection. In recent years, thanks to the development of target detection technology, the multi-target tracking method based on detection has become the main method of multi-target tracking. The tracking process of the detection-based multi-target tracking method can be transformed into a data association problem. This method is highly dependent ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/103G06V20/41G06F18/22G06F18/23213G06F18/214Y02T10/40
Inventor 林佳能林笔星苏志勇林庆瑞王思晨
Owner STATE GRID INFO TELECOM GREAT POWER SCI & TECH
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