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Image processing apparatus, image processing system, and image processing method

專利號(hào)
US10867166B2
公開日期
2020-12-15
申請(qǐng)人
SONY CORPORATION(JP Tokyo)
發(fā)明人
Kazuhiro Shimauchi; Takashi Kohashi; Masakazu Ebihara; Yuji Ono; Hidetoshi Nagano
IPC分類
G06K9/00; G06T7/215; G06T7/292; G06K9/62; G06T7/20
技術(shù)領(lǐng)域
person,detection,candidate,in,image,frame,moving,body,process,point
地域: Tokyo

摘要

Provided are an apparatus and a method for executing a person detection process from an image. A divisional small region setting window is set and an image in the window is determined to be a person based on the number of moving body pixels of each divisional small region, and a first person candidate point is set in the window when the image is determined to be a person. A person determination process is executed based on an image feature quantity in a person determination detection frame, and a second person candidate point is set in the person determination detection frame when it is determined to be a person. A distribution state in a moving body detection frame of the person determination detection frame is analyzed, and an image in the person determination detection frame is determined to be a person based on an analysis result.

說明書

In step S302 of the flow of FIG. 17, as described with reference to FIGS. 19 and 20, for example, the person determination detection frame including the first person candidate point is set, and the person determination feature quantity is extracted from the setting detection frame.

Further, the feature quantity is, for example, an image feature quantity of an eye, a nose, a mouth, r the like indicating a feature of a human face or a feature quantity indicating a human body shape, and various existing feature quantities applied to the person detection process from the image can be used.

Further, the feature quantity extracted from the image is compared with a dictionary registration feature quantity registered in the memory which is the storage unit of the image processing apparatus, and if a degree of approximation is determined to be high, it is determined to be a person.

(Steps S303 and S304)

Then, in steps S303 and S304, the person determination process based on the collation process for the person determination feature quantity extracted from the image in the person determination detection frame and the registration data of the dictionary in which the person determination feature quantity is registered is executed.

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