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Pedestrian detection apparatus and method

A pedestrian detection and pedestrian technology, applied in the field of image processing, can solve the problem of not being able to capture changes in pedestrians

Active Publication Date: 2017-08-01
BEIJING SENSETIME TECH DEV CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, previous deep models treat pedestrian detection as a single binary classification task, and they mainly learn mid-level features but are unable to capture rich pedestrian variations

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  • Pedestrian detection apparatus and method
  • Pedestrian detection apparatus and method
  • Pedestrian detection apparatus and method

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Embodiment Construction

[0012] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. Where appropriate, the same reference numbers will be used throughout the drawings to refer to the same or like parts. figure 1 is a schematic diagram illustrating an exemplary pedestrian detection device 1000 consistent with some disclosed embodiments.

[0013] refer to figure 1 , wherein the pedestrian detection device 1000 is implemented by hardware, and it may include an extraction device 100 , an allocation device 200 , a training device 300 and a determination device 400 .

[0014] It should be appreciated that device 1000 may be implemented using some hardware, software, or a combination thereof. Furthermore, embodiments of the present invention may be adapted for a computer program product embodied on one or more computer-readable storage media (including but not limited to, disk storage, CD-ROM, optical storage, etc.). figure 2...

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Abstract

Disclosed is a pedestrian detection apparatus. The pedestrian detection apparatus may comprise an extracting device configured to extract a plurality of training patches from predetermined data sources comprising a pedestrian data source and background scene data sources; an assigning device configured to assign preset attributes to the training patches based on types of the plurality of training patches; and a training device configured to train a neutral network based on the training patches with the assigned preset attributes to generate a multi-task classification model, and a determining device configured to determining one or more pedestrians in an input image based on the generated multi-task classification model. A pedestrian detection method is also disclosed.

Description

technical field [0001] The present application generally relates to the field of image processing, and more specifically, relates to a pedestrian detection device and a pedestrian detection method. Background technique [0002] In recent years, with the rapid development and popularization of high-performance mobile and wearable devices, pedestrian detection has attracted increasing attention due to its large number of potential applications. Pedestrian detection is challenging due to large variations and clutter in the human body and background scenes. [0003] Current methods for pedestrian detection are generally divided into two categories, namely, hand-crafted feature-based models and deep models. In the first category, traditional methods are used to extract patches (patches) from images to train or improve classifiers. Although they are adequate for some pose variations, feature representations and classifiers cannot be jointly optimized for performance, and they ca...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/00G06V10/764
CPCG06V40/10G06V10/454G06V10/82G06V10/764G06F18/2413
Inventor 汤晓鸥田永龙罗平王晓刚
Owner BEIJING SENSETIME TECH DEV CO LTD