Pedestrian detection method based on position correction model

A technology for correcting models and pedestrian detection, applied in the field of pattern recognition, can solve problems such as lack of versatility, achieve the effect of easy implementation and application, and reduce calculation costs

Active Publication Date: 2012-07-25
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

Although this method has improved the detection speed, it is not very versatile due to its restrictive assumptions.

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  • Pedestrian detection method based on position correction model
  • Pedestrian detection method based on position correction model
  • Pedestrian detection method based on position correction model

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[0019] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0020] The traditional pedestrian detection method based on the sliding window usually needs to traverse each sub-window of the image. At the same time, in order to ensure the accuracy of the detection, it is necessary to extract multiple features for each sub-window, which makes the feature dimension very high. High computational complexity and waste of space resources. A pedestrian detection method based on a position correction model provided by the present invention utilizes a coarse-to-fine pedestrian detection sub-window search method, which does not need to exhaustively enumerate image sub-windows, but first roughly extracts large-scale areas around the target. Sub-window, that is, sparse sub-window, and then do an...

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Abstract

The invention discloses a rapid pedestrian detection method which comprises three steps: sparse scanning, position correction model setting and denseness search. The method particularly comprises the following steps: carrying out sparse scanning on an image to be detected; extracting HOG (histogram of oriented gradient) features of all sparse child windows, and classifying roughly to obtain all child windows possibly comprising the partial objects; estimating the relative displacement of the acquired child window positions and the object true positions by utilizing a pre-learning position correction model; and establishing object position candidate regions according to the object estimation position of each child window, and carrying out denseness search to obtain the object accurate position. According to the invention, exhaustion for all child windows of the image is not required, and the quantity of the search windows can be reduced obviously, so that the method is important for improving the object detection speed in a supervisory control scene. The rapid pedestrian detection method disclosed by the invention can be widely applied to intelligent video supervisory control systems, robot vision systems, auxiliary driving systems and the like.

Description

technical field [0001] The invention belongs to the field of pattern recognition, in particular to a pedestrian detection method based on a position correction model. Background technique [0002] With the gradual increase of people's attention to social security issues, the number of cameras installed in public scenes has increased significantly to obtain interesting information. In fact, an operator's high attention to the monitoring screen wall lasts no more than ten minutes, and a high-definition camera generates 10GB of data per day. Therefore, relying on the human eye to pay attention to the events in the scene in real time, or even just querying a certain event in the recorded video data, is a very difficult task to complete. How to use the computer to understand the content of the scene, predict the upcoming events in the scene, detect the ongoing events, query the events that have occurred, and realize the intelligent monitoring of the scene has become one of the h...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 黄凯奇谭铁牛梁宏雨吴金晨
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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