Method and device for detecting target object

A technology of target object and detection method, which is applied in the field of target detection, can solve the problems of slow detection speed, achieve high detection rate, fast detection speed, and reduce missed detection areas

Inactive Publication Date: 2018-03-02
BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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  • Description
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Problems solved by technology

Therefore, a lot of useless work has been done in the detection process, and the detection speed is slow

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  • Method and device for detecting target object
  • Method and device for detecting target object
  • Method and device for detecting target object

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Embodiment Construction

[0055] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0056] figure 1 is a flow chart of a method for detecting a target object according to an exemplary embodiment, as shown in figure 1 As shown, the method can be applied to terminals such as mobile phones, tablet computers, and cameras. The target object detection method includes iteratively executing the following steps S101 to S103.

[0057] S101, step of identifying, inputting the...

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Abstract

The invention relates to a method and device for detecting a target object. The method comprises a recognition step, a bounding box determination step and an original image region determination step.In the recognition step, an image to be processed is inputted into an nth layer of a cascade full convolution network (FCN) model, and a corresponding probability graph of the detected target object in the nth layer is recognized. In the bounding box determination step, bounding boxes are acquired according to probability values on the probability graph corresponding to the nth layer, and the bounding boxes are combined by adopting non-maximum suppression (NMS). In the original image region determination step, an original image region of the combined bounding boxes on the image to be processedis acquired, the acquired original image region is inputted into an (n+1)th layer of the cascade FCN model, the recognition step, the bounding box determination step and the original image region determination step are executed in an iterative manner until the position of the target object on the image to be processed is outputted at an Lth layer of the cascade FCN model. The method and device are higher in detection speed and higher in detection rate.

Description

technical field [0001] The present disclosure relates to the field of target detection, in particular to a method and device for detecting a target object. Background technique [0002] In related technologies, when the Cascade CNN model is used for face detection, a sliding window method is used to find faces. When the number of slides increases or the window becomes larger, the storage space required for the tracking process will increase significantly. Because there will be overlapping regions between adjacent sliding windows. Therefore, a lot of useless work is done in the detection process, and the detection speed is slow. Contents of the invention [0003] In order to overcome the problems existing in related technologies, the present disclosure provides a method and device for detecting a target object. [0004] According to a first aspect of an embodiment of the present disclosure, a method for detecting a target object is provided, including: [0005] The iden...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/16G06V2201/07G06N3/047G06N3/045
Inventor 陈志军
Owner BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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