Time-space movement profile feature-based pedestrian detection method

A technology of pedestrian detection and motion contour, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problems of unsatisfactory recognition efficiency and detection accuracy, and achieve the effect of improving efficiency and accuracy

Inactive Publication Date: 2016-06-01
ABD SMART EYE ELECTRONICS CO LTD
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Problems solved by technology

[0004] 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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  • Time-space movement profile feature-based pedestrian detection method
  • Time-space movement profile feature-based pedestrian detection method
  • Time-space movement profile feature-based pedestrian detection method

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Embodiment Construction

[0029] 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.

[0030] ginseng figure 1 Shown is a specific implementation of a pedestrian detection method based on time-space domain motion profile features of the present invention. 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: the positive sample set that only contains the head and / or shoulders of the pedestrian, and does not contain the head of the pedestrian. and / or shoulder negative atlases.

[0031] In this embodiment,...

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Abstract

The invention belongs to the video image processing technical field and provides a time-space movement profile feature-based pedestrian detection method. The method includes the following steps that: S1, a 3D Haar filter is utilized to extract the 3D Haar feature vectors of a time-space body in a training sample set; S2, the 3D Haar feature vectors are trained based on a Gentle Adaboost cascade algorithm, so that a pedestrian cascade classifier can be obtained; S3, the pedestrian cascade classifier is utilized to perform pedestrian detection on input images acquired by a self monitoring region; and S4, pedestrians detected in the step S3 is tracked and counted based on an EKM algorithm. According to the method of the invention, the 3D Haar feature vectors in the training sample set are calculated, and the optimized pedestrian cascade classifier is utilized to detect pedestrians in the monitoring region, and therefore, the efficiency and accuracy of counting of pedestrians in a public region can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of computer video image processing, and in particular relates to a pedestrian detection method based on a time-space body motion profile feature, which is used to accurately count the number of pedestrians in a public area. 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...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T7/20
Inventor 吕楠张丽秋
Owner ABD SMART EYE ELECTRONICS CO LTD
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