摘要:
Time-of-flight (TOF) three-dimensional sensing systems are deployed on or in a motor vehicle to image contact zones associated with potential contact between an avoidable object and the vehicle or vehicle frame and/or remotely controllable motorized moving door or liftgate. An algorithm processes depth data acquired by each TOF system to determine whether an avoidable object is in the associated contact zone. If present, a control signal issues to halt or reverse the mechanism moving the door. A stored database preferably includes a depth image of the contact zone absent any object, an image of the door, and volume of the door. Database images are compared to newly acquired depth images to identify pixel sensors whose depth values are statistically unlikely to represent background or the door. Pixels within the contact zone so identified are an object, and the control signal is issued.
摘要:
Time-of-flight (TOF) three-dimensional sensing systems are deployed on or in a motor vehicle to image contact zones associated with potential contact between an avoidable object and the vehicle or vehicle frame and/or remotely controllable motorized moving door or liftgate. An algorithm processes depth data acquired by each TOF system to determine whether an avoidable object is in the associated contact zone. If present, a control signal issues to halt or reverse the mechanism moving the door. A stored database preferably includes a depth image of the contact zone absent any object, an image of the door, and volume of the door. Database images are compared to newly acquired depth images to identify pixel sensors whose depth values are statistically unlikely to represent background or the door. Pixels within the contact zone so identified are an object, and the control signal is issued.
摘要:
The present invention mines or extracts data present during interaction between at least two participants, for example in a chat session, a video session, etc. via the Internet. The data, which can include participant web camera generated video, audio, keyboard typed information, handwriting recognized information, is analyzed. Based upon the analysis, content-dependent information is determined and may be displayed to one or more participants in the chat session. In one aspect, a video foreground based upon a participant's generated video is combined with a customized computer generated background that is based upon data mined from the chat session. The customized background preferably is melded seamlessly with the participant's foreground data, preferably via background substitution that combines RGB video with depth data that predicts what background may substituted with new imagery. Content-based targeted information can include advertisement(s).