Pedestrian detection method based on multi-granularity feature

A pedestrian detection, multi-granularity technology, used in instruments, character and pattern recognition, computer parts and other directions, can solve the problems of unsatisfactory recognition efficiency and detection accuracy, and achieve the effect of improving efficiency and accuracy

Inactive Publication Date: 2016-06-08
ABD SMART EYE ELECTRONICS CO LTD
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Problems solved by technology

[0003] However, in actual use, the existing technologies based on the one-dimensional description of pedestrian outlines are not ideal in terms of recognition efficiency and detection accuracy

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  • Pedestrian detection method based on multi-granularity feature
  • Pedestrian detection method based on multi-granularity feature
  • Pedestrian detection method based on multi-granularity feature

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Embodiment Construction

[0033] The present invention will be described in detail below in conjunction with the implementations shown in the drawings, but it should be noted that these implementations are not limitations of the present invention, and those of ordinary skill in the art based on the functions, methods, or structural changes made by these implementations Equivalent transformations or substitutions all fall within the protection scope of the present invention.

[0034] ginseng figure 1 Shown is a schematic flow chart of a pedestrian detection method based on multi-granularity features in the present invention.

[0035] In this embodiment, since the head and shoulders of pedestrians have little change when walking, based on the consideration of easy detection, the training sample set can be defined as: a positive sample set containing only the head and / or shoulders , negative sample atlases that do not contain pedestrian heads and / or shoulders.

[0036] First, step S1 is executed to extr...

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Abstract

The invention provides a pedestrian detection method based on the multi-granularity feature, and belongs to the technical field of video image processing. The method comprises that S1) the multi-granularity feature vector in a training sample set is extracted; S2) the multi-granularity feature vector is trained on the basis of a Gentle Adaboost cascade algorithm to obtain a pedestrian cascade classifier; S3) the pedestrian cascade classifier is used to carry out pedestrian detection on input images obtained in a self-monitoring area; and S4) pedestrians detected in the S3) are tracked and counted in the EKM algorithm. According to the invention, the multi-granularity feature vector in the training sample set is extracted, the pedestrian cascade classifier is utilized in an optimized manner to detect the pedestrians in the monitoring area, and the pedestrian counting efficiency and accuracy in the common area are effectively improved.

Description

technical field [0001] The invention belongs to the technical field of computer video image processing, in particular to a pedestrian detection method based on multi-granularity features. Background technique [0002] With the development of computer technology and image processing technology, video-based intelligent monitoring system has been widely used. It plays a huge role in ensuring social public safety and traffic safety, protecting people's lives and property, ensuring safe production and product testing in the field of industrial control, and related commercial fields. At present, the application of intelligent video surveillance system is mainly in the field of security prevention and control and the field of non-security prevention and control. Crowd monitoring in public places, road traffic safety monitoring, and industrial production safety monitoring are all applications in the field of safety prevention and control. Non-safety areas include: commercial areas...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 吕楠张丽秋
Owner ABD SMART EYE ELECTRONICS CO LTD
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