Device, system and method for automated detection of orientation and/or location of a person

A device for automated detection of orientation and/or location of a person, comprising:

• an image data interface configured to obtain image data of a person, said image data comprising a sequence of image frames over time and to determine motion images representing motion detected within said image data from one image frame to another image frame
• a motion detector configured to detect motion within said image data,
• a motion intensity detector configured to identify motion hotspots which show areas of the image frames with frequency occurring motion and to accumulate motion images covering a predetermined time period, to obtain one or more accumulation images by summing up binary occurrences of motion pixels or motion vector information within two or more motion images,
• a person detector configured to detect an orientation and/or location of at least part of the person based on the identified motion hotspots.

A method for automated detection of orientation and/or location of a person, comprising:

• obtaining image data of a person, said image data comprising a motion estimation in a sequence of accumulated image frames over time,
• detecting motion within said accumulated image data,
• determining motion images representing motion from one image frame to another image frame in the accumulated image data,
• identifying motion hotspots representing image areas showing most intense motion over a predetermined period of time, taking into account large motion areas and thresholding the accumulated image data with an adaptive threshold,
• identifying a boundary of the person based on the identified most intense motion hotspots.

A device for automated detection of orientation and/or location of a person, comprising:

• one or more video cameras configured to generate image data of a person including a sequence of video frames of the person;
• one or more computer processors programmed to:
• receive the image data from the one or more video cameras;
• detect motion within the image data from the one or more video cameras;
• identify motion hotspots within the image data from the one or more video cameras by accumulating image data over a plurality of rames, wherein the motion hotspots show areas with frequently occurring motion;
• detect a left and/or right boundary of the person in an image by edge strength analysis in one or more accumulated images in a direction substantially parallel to the longitudinal axis of the person based on the identified motion hotspots;
• and
• a user interface configured to output information related to the detected left and/or right boundary of the person.