Image-based occupancy sensor
View Patent ↗An image-based occupancy sensor includes a motion detection module that receives and processes an image signal to generate a motion detection signal, a people detection module that receives the image signal and processes the image signal to generate a people detection signal, a face detection module that receives the image signal and processes the image signal to generate a face detection signal, and a sensor integration module that receives the motion detection signal from the motion detection module, receives the people detection signal from the people detection module, receives the face detection signal from the face detection module, and generates an occupancy signal using the motion detection signal, the people detection signal, and the face detection signal, with the occupancy signal indicating vacancy or occupancy, with an occupancy indication specifying that one or more people are detected within the monitored volume.
1. An image-based occupancy sensor, comprising:
a motion detection module that receives an image signal of a monitored volume comprising a sequence of image frames and processes the image signal to generate a motion detection signal;
a people detection module that receives the image signal and processes the image signal to generate a people detection signal;
a face detection module that receives the image signal and processes the image signal to generate a face detection signal; and
a sensor integration module that receives the motion detection signal, the people detection signal, and the face detection signal, and generates an occupancy signal using the motion detection signal, the people detection signal, and the face detection signal, wherein the occupancy signal corresponds to an occupancy determination indicating vacancy or occupancy, wherein the occupancy determination indicating occupancy corresponds to the detection of one or more people within the monitored volume.
2. The image-based occupancy sensor of claim 1 , wherein the sensor integration module generates an occupancy signal confidence level of the occupancy determination, with the occupancy signal confidence level accompanying the occupancy signal.
3. The image-based occupancy sensor of claim 1 , with the motion detection signal including a motion confidence level, with the people detection signal including a people confidence level, and with the face detection signal including a face confidence level, and wherein the sensor integration module generates an occupancy signal confidence level from a weighted sum of the motion confidence level, the people confidence level, and the face confidence level, with the occupancy signal confidence level accompanying the occupancy signal.
4. The image-based occupancy sensor of claim 1 , with the motion detection signal including a motion confidence level, with the people detection signal including a people confidence level, and with the face detection signal including a face confidence level, and wherein the sensor integration module generates an occupancy signal confidence level of the occupancy determination from a weighted sum of the motion confidence level, the people confidence level, and the face confidence level using a predetermined motion confidence weighting factor, a predetermined people confidence weighting factor, and a predetermined face confidence weighting factor, with the occupancy signal confidence level accompanying the occupancy signal.
5. The image-based occupancy sensor of claim 1 , with the motion detection signal including a motion confidence level, with the people detection signal including a people confidence level, and with the face detection signal including a face confidence level, and wherein the sensor integration module generates an occupancy signal confidence level of the occupancy determination from a weighted sum of the motion confidence level, the people confidence level, and the face confidence level using a predetermined motion confidence weighting factor, a predetermined people confidence weighting factor, and a predetermined face confidence weighting factor, wherein the predetermined motion confidence weighting factor is larger than the predetermined people confidence weighting factor or the predetermined face confidence weighting factor, with the occupancy signal confidence level accompanying the occupancy signal.
6. The image-based occupancy sensor of claim 1 , further comprising an activity detection module that processes the motion detection signal, the people detection signal, and the face detection signal and generates an activity level signal for the monitored volume.
7. The image-based occupancy sensor of claim 1 , further comprising an activity detection module that processes the motion detection signal, the people detection signal, and the face detection signal and generates an activity level signal for the monitored volume using a predetermined motion weighting factor, a predetermined people weighting factor, and a predetermined face weighting factor.
8. The image-based occupancy sensor of claim 1 , further comprising a luminance assessment module that processes the image signal and generates a luminance level signal for the monitored volume.
9. The image-based occupancy sensor of claim 1 , further comprising an occupant location module that processes the people detection signal, and the face detection signal and generates a number of occupants signal for the monitored volume.
10. The image-based occupancy sensor of claim 1 , further comprising an occupant location module that processes the people detection signal, and the face detection signal and generates a location of occupants signal for the monitored volume.
11. An image-based occupancy sensing method, with the method comprising:
receiving an image signal of a monitored volume comprising a sequence of image frames;
processing the image signal with a motion detection routine and generating a motion detection signal that indicates a presence or absence of motion in the image signal;
processing the image signal with a people detection routine and generating a people detection signal that indicates a presence or absence of one or more people in the image signal;
processing the image signal with a face detection routine and generating a face detection signal that indicates a presence or absence of one or more faces in the image signal; and
generating an occupancy signal that corresponds to an occupancy determination that indicates vacancy or occupancy using the motion detection signal, the people detection signal, and the face detection signal, wherein the occupancy determination indicating occupancy specifies that one or more people are occupying the monitored volume.
12. The method of claim 11 , further comprising generating an occupancy signal confidence level of the occupancy determination, with the occupancy signal confidence level accompanying the occupancy signal.
13. The method of claim 11 , with the motion detection signal including a motion confidence level, with the people detection signal including a people confidence level, and with the face detection signal including a face confidence level, and wherein an occupancy signal confidence level of the occupancy determination is generated from a weighted sum of the motion confidence level, the people confidence level, and the face confidence level, with the occupancy signal confidence level accompanying the occupancy signal.
14. The method of claim 11 , with the motion detection signal including a motion confidence level, with the people detection signal including a people confidence level, and with the face detection signal including a face confidence level, and wherein an occupancy signal confidence level of the occupancy determination is generated from a weighted sum of the motion confidence level, the people confidence level, and the face confidence level using a predetermined motion confidence weighting factor, a predetermined people confidence weighting factor, and a predetermined face confidence weighting factor, with the occupancy signal confidence level accompanying the occupancy signal.
15. The method of claim 11 , with the motion detection signal including a motion confidence level, with the people detection signal including a people confidence level, and with the face detection signal including a face confidence level, and wherein an occupancy signal confidence level of the occupancy determination is generated from a weighted sum of the motion confidence level, the people confidence level, and the face confidence level using a predetermined motion confidence weighting factor, a predetermined people confidence weighting factor, and a predetermined face confidence weighting factor, wherein the predetermined motion confidence weighting factor is larger than the predetermined people confidence weighting factor or the predetermined face confidence weighting factor, with the occupancy signal confidence level accompanying the occupancy signal.
16. The method of claim 11 , further comprising processing the motion detection signal, the people detection signal, and the face detection signal with an activity detection routine and generating an activity level signal for the monitored volume.
17. The method of claim 11 , further comprising processing the motion detection signal, the people detection signal, and the face detection signal with an activity detection routine and generating an activity level signal for the monitored volume using a predetermined motion weighting factor, a predetermined people weighting factor, and a predetermined face weighting factor.
18. The method of claim 11 , further comprising processing the image signal and generating a luminance level signal for the monitored volume.
19. The method of claim 11 , further comprising processing the people detection signal, and the face detection signal and generating a number of occupants signal for the monitored volume.
20. The method of claim 11 , further comprising processing the people detection signal, and the face detection signal and generating a location of occupants signal for the monitored volume.