Method and system for detecting a person in an image based on location in the image

1. A method for detecting a person in an image, the method comprising:

detecting an object in an image of a space;

determining a weighted value of a parameter of the object from the image, by assigning to a value of a parameter of the object a first weight if the object is located in a predetermined area and assigning to the value a second weight, which is smaller than the first weight, if the object is not located in the predetermined area, wherein if the weighted value exceeds a threshold, which is determined based on location of the object, the object is determined to be a person;

determining that the object is a person based on the weighted value of the parameter and on the threshold; and

generating a signal to assign space related resources based on the determination that the object is a person.

2. The method of claim 1 comprising lowering the threshold if the object is located in a predetermined area in the image.

3. The method of claim 1 comprising:

detecting a shape of the object in the image of the space, and determining that the object is a person based on the detected shape and on the value of the parameter and threshold.

4. The method of claim 1 wherein the predetermined area correlates to a predefined location in the space, comprising at least one of: home, room and building.

5. The method of claim 4 comprising:

identifying the predefined location from an image of the space; and

determining the predetermined area based on the identification.

6. The method of claim 4 comprising:

receiving a signal indicating the predefined location; and

determining the predetermined area based on the signal.

7. The method of claim 4 wherein the predefined location in the space comprises furniture.

8. The method of claim 7 wherein the furniture comprises one or more of: a chair, a desk and a bed.

9. The method of claim 1 comprising aggregating data from images of the space to detect the predetermined area in the image.

10. The method of claim 1 wherein the parameters of the object comprise one or a combination of: motion size and object size.

11. The method of claim 1 wherein the signal generated based on the determination that the object is a person is to cause a change in displayed content.

12. The method of claim 1 comprising tracking the object in images of the space and, if the object is determined to be a person, continuing to track the object and, if the object is not determined to be a person, discontinuing tracking of the object.

13. The method of claim 4 comprising:

receiving an indication of type of location in the space; and

changing the threshold based on the type of location.

14. The method of claim 13 wherein a type of location comprises one or more of a location with a specific purpose, a location with specific content or a location with specific statistics.

15. The method of claim 13 wherein the indication of type of location comprises a signal generated by a processor after detecting the predefined area from the image.

16. The method of claim 13 wherein the indication of type of location is based on user input.

17. The method of claim 1 wherein the device comprises a space related resource management system to assign workstations to occupants in the space.

18. The method of claim 1 wherein the image of the space is a top view image.

19. A method for detecting a person in an image, the method comprising

detecting an object in an image of a space;

determining a value of a parameter of the object from the image, wherein if the value exceeds a threshold the object is determined to be a person;

if the object is located in a predetermined area in the image then changing the threshold;

determining that the object is a person based on the value of the parameter and the changed threshold; and

generating a signal to cause a change in displayed content, based on the determination that the object is a person.

20. A system comprising a processor, memory and display, wherein the processor is to

detect an object in an image of a space;

determine a weighted value of a parameter of the object from the image, by assigning to a value of a parameter of the object a first weight if the object is located in a predetermined area and assigning to the value a second weight, which is smaller than the first weight, if the object is not located in the predetermined area, wherein if the weighted value exceeds a threshold, which is determined based on location of the object, the object is determined to be a person;

determine that the object is a person based on the weighted value of the parameter and on the threshold;

generate a signal to assign space related resources based on the determination that the object is a person; and

cause a change in content displayed on the display.