Video processing for human occupancy detection
AssigneeAnalog Devices Gloval Unlimited Company
InventorRaka Singh
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AssigneeAnalog Devices Gloval Unlimited Company
InventorRaka Singh
Estimating the term…
Many conventional video processing algorithms attempting to detect human presence in a video stream often generate false positives on non-human movements such as plants moving in the wind, rotating fan, etc. To reduce false positives, a technique exploiting temporal correlation of non-human movements can accurately detect human occupancy while reject non-human movements. Specifically, the technique involves performing temporal analysis on a time-series signal generated based on an accumulation of foreground maps and an accumulation of motion map and analyzing the running mean and the running variance of the time-series signal. By determining whether the time-series signal is correlated in time, the technique is able to distinguish human movements and non-human movements. Besides having superior accuracy, the technique lends itself to an efficient algorithm which can be implemented on low cost, low power digital signal processor or other suitable hardware.
A method for determining occupancy in a video stream, comprising:
A computer-readable non-transitory medium comprising one or more instructions for determining occupancy in a video stream, that when executed on a processor, configure the processor to:
A method for determining occupancy in a video stream, comprising:
A computer-readable non-transitory medium comprising one or more instructions for determining occupancy in a video stream, that when executed on a processor, configure the processor to:
Dependencies are inferred from the claim text.