OBJECT DETECTION METHOD, ELECTRONIC APPARATUS AND GESTURE DETECTION SYSTEM

1 . An object detection method, using a processor to implement following steps, comprising:

executing an object detection module to detect an original image, and obtaining a first position information, a second position information, and a third position information related to a same human body object from the original image through the object detection module, wherein the first position information corresponds to a head area, the second position information corresponds to a body area, and the third position information corresponds to a hand area;

setting a valid determination range based on at least one of the first position information and the second position information;

obtaining a hand position in the original image based on the third position information;

in response to the hand position being within the valid determination range, executing a gesture recognition module; and

in response to the hand position not being within the valid determination range, not executing the gesture recognition module.

2 . The object detection method according to claim 1 , wherein setting the valid determination range based on at least one of the first position information and the second position information comprises:

calculating a face width and a face area based on the first position information corresponding to the head area;

setting a threshold based on the face width; and

setting the valid determination range within a circular range with a center point of the face area as a center and the threshold as a radius.

3 . The object detection method according to claim 2 , wherein calculating the face width based on the first position information corresponding to the head area comprises:

calculating a height of the head area in a vertical direction and a width in a horizontal direction based on the first position information corresponding to the head area;

determining whether the obtained face area is a front face or a side face based on a ratio of the height and the width;

in response to determining that the face area is the front face, using the width as the face width; and

in response to determining that the face area is the side face, not calculating the face width calculated, and not executing the gesture recognition module.

4 . The object detection method according to claim 1 , wherein setting the valid determination range based on at least one of the first position information and the second position information comprises:

obtaining a body length range in a vertical direction based on the second position information corresponding to the body area; and

setting the valid determination range according to a preset ratio in the body length range to determine whether the hand position in the vertical direction is within the valid determination range.

5 . The object detection method according to claim 4 , wherein the preset ratio comprises a first ratio and a second ratio, and setting the valid determination range according to the preset ratio in the body length range comprises:

in response to determining that the human body object is half-body, setting the valid determination range according to the first ratio in the body length range; and

in response to determining that the human body object is full-body, setting the valid determination range according to the second ratio in the body length range.

6 . The object detection method according to claim 5 , further comprising:

obtaining a head size of the head area in the vertical direction by referring to the first position information;

obtaining a body length and a body width of the body area by referring to the second position information; and

determining whether the human body object is half-body or full-body based on the body length, the body width, and the head size.

7 . The object detection method according to claim 1 , wherein setting the valid determination range based on at least one of the first position information and the second position information comprises:

obtaining a width range in a horizontal direction based on the second position information corresponding to the body area;

calculating a top-of-head position based on the first position information corresponding to the head area; and

setting the valid determination range based on an upper area and the width range of the top-of-head position.

8 . The object detection method according to claim 1 , wherein in response to the hand position being within the valid determination range, comprising:

executing the gesture recognition module and obtaining a gesture recognition result; and

executing a corresponding operation based on the gesture recognition result.

9 . The object detection method according to claim 8 , wherein the operation comprises at least one of controlling an action of a physical apparatus and controlling an adjustment of a parameter setting of an electronic apparatus having the processor.

10 . An electric apparatus, comprising:

a communication interface, configured to receive an original image; and

a processor, coupled to the communication interface, and configured to:

execute an object detection module to detect the original image, and obtain a first position information, a second position information, and a third position information related to a same human body object from the original image through the object detection module, wherein the first position information corresponds to a head area, the second position information corresponds to a body area, and the third position information corresponds to a hand area;

set a valid determination range based on at least one of the first position information and the second position information;

obtain a hand position in the original image based on the third position information;

in response to the hand position being within the valid determination range, execute a gesture recognition module; and

in response to the hand position not being within the valid determination range, not execute the gesture recognition module.

11 . The electric apparatus according to claim 10 , wherein the processor is configured to:

calculate a face width and a face area based on the first position information corresponding to the head area;

set a threshold based on the face width; and

set the valid determination range within a circular range with a center point of the face area as a center and the threshold as a radius.

12 . The electric apparatus according to claim 11 , wherein the processor is configured to:

calculate a height of the head area in a vertical direction and a width in a horizontal direction based on the first position information corresponding to the head area;

determine whether the obtained face area is a front face or a side face based on a ratio of the height and the width;

in response to determining that the face area is the front face, use the width as the face width; and

in response to determining that the face area is the side face, not calculate the face width calculated, and not execute the gesture recognition module.

13 . The electric apparatus according to claim 10 , wherein the processor is configured to:

obtain a body length range in a vertical direction based on the second position information corresponding to the body area; and

set the valid determination range according to a preset ratio in the body length range to determine whether the hand position in the vertical direction is within the valid determination range.

14 . The electric apparatus according to claim 13 , wherein the preset ratio comprises a first ratio and a second ratio, the processor is configured to:

in response to determining that the human body object is half-body, set the valid determination range according to the first ratio in the body length range; and

in response to determining that the human body object is full-body, set the valid determination range according to the second ratio in the body length range.

15 . The electric apparatus according to claim 14 , wherein the processor is configured to:

obtain a head size of the head area in the vertical direction by referring to the first position information;

obtain a body length and a body width of the body area by referring to the second position information; and

determine whether the human body object is half-body or full-body based on the body length, the body width, and the head size.

16 . The electric apparatus according to claim 10 , wherein the processor is configured to:

obtain a width range in a horizontal direction based on the second position information corresponding to the body area;

calculate a top-of-head position based on the first position information corresponding to the head area; and

set the valid determination range based on an upper area and the width range of the top-of-head position.

17 . The electric apparatus according to claim 10 , wherein the processor is configured to:

execute the gesture recognition module and obtain a gesture recognition result; and

execute a corresponding operation based on the gesture recognition result.

18 . The electric apparatus according to claim 17 , wherein the operation comprises at least one of controlling an action of a physical apparatus and controlling an adjustment of a parameter setting of the electronic apparatus.

19 . A gesture detection system, comprising:

an imaging apparatus, configured to obtain an original image; and

an electronic apparatus, comprising:

a communication interface, configured to receive the original image from the imaging apparatus; and

a processor, coupled to the communication interface, and configured to

execute an object detection module to detect the original image, and obtain a first position information, a second position information, and a third position information related to a same human body object from the original image through the object detection module, wherein the first position information corresponds to a head area, the second position information corresponds to a body area, and the third position information corresponds to a hand area;

set a valid determination range based on at least one of the first position information and the second position information;

obtain a hand position in the original image based on the third position information;

in response to the hand position being within the valid determination range, execute a gesture recognition module; and

in response to the hand position not being within the valid determination range, not execute the gesture recognition module.