Pedestrian detection algorithm based on key points
A technology of pedestrian detection and key points, which is applied in the field of pedestrian detection algorithms based on key points, can solve problems such as inefficiency and time-wasting, and achieve high detection accuracy and low overhead
Pending Publication Date: 2020-02-07
上海雪湖科技有限公司
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Most successful object detectors exhaustively exhaust potential object locations and then classify the locations, which is time-consuming and inefficient, requiring additional post-processing
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[0033] Such as Figure 1-2 As shown, the present invention provides a pedestrian detection algorithm based on key points, the steps are as follows:
[0034] Step S1: When constructing the model, we use a central key point and a pair of corner points to represent each target;
[0035] Step S2: The network obtains centerheatmap and corner heatmaps respectively through center pooling and cascade corner pooling, which are used to predict the information of central key points and corner points;
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The invention discloses a pedestrian detection algorithm of a pedestrian detection algorithm based on key points. The pedestrian detection algorithm comprises the following steps: S1, representing each target by using a central key point and a pair of angular points when a model is constructed; S2, enabling the network to obtain a center head < atmap > and a center head < atmaps > through center pooling and cascade head pooling respectively, and the center head < atmap > and the center head < atmaps > are used for predicting information of a center key point and information of a corner point;and S3, processing the information to obtain a detection result after the information of the central key point and the corner points is obtained; S4, according to the detection result, obtaining the information of the pedestrian to be detected. According to the invention, the invention has high detection accuracy in a dense scene; in a shielding scene, the situation that only one head or half of the body of a person behind is exposed can be detected; the CenterNet can effectively remove a small-scale error target box, and can effectively remove a medium-scale error target box and a large-scaleerror target box.
Description
technical field [0001] The invention relates to a pedestrian detection algorithm, in particular to a pedestrian detection algorithm based on key points. Background technique [0002] Pedestrian detection is an important research direction in the field of computer vision, which detects whether there are pedestrians in the image by analyzing the image. Pedestrian detection technology has a wide range of applications in vehicle assisted driving, intelligent monitoring, intelligent robots and other fields. For example, the vehicle auxiliary driving system can use pedestrian detection technology to detect pedestrians in front of the vehicle and remind the driver to avoid; the intelligent monitoring system can use pedestrian detection technology to detect pedestrians in the monitoring screen, so as to analyze the behavior of pedestrians and track suspicious persons; Intelligent robots can use pedestrian detection technology to find pedestrians in the surrounding environment, so a...
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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/10G06N3/045G06F18/214
Inventor 张益新
Owner 上海雪湖科技有限公司