摘要:
Background blurring is an effective way to both preserve privacy and keep communication effective during video conferencing. The present image background blurring technique is a light weight real-time technique to perform background blurring using a fast background modeling procedure combined with an object (e.g., face) detector/tracker. A soft decision is made at each pixel whether it belongs to the foreground or the background based on multiple vision features. The classification results are mapped to a per-pixel blurring radius image to blur the background. In another embodiment, the image background blurring technique blurs the background of the image without using the object detector.
摘要:
A combined digital and mechanical tracking system and process for generating a video using a single digital video camera that tracks a person or object of interest moving in a scene is presented. This generally involves operating the camera at a higher resolution than is needed for the application, and cropping a sub-region out of the image captured that is output as the output video. The person or object being tracked is at least partially contained within the cropped sub-region. As the person or object moves within the field of view of the camera, the location of the cropped sub-region is also moved so as to keep the subject of interest within its boundaries. When the subject of interest moves to the boundary of the FOV of the camera, the camera is mechanically panned to keep the person or object inside its FOV.
摘要:
Background blurring is an effective way to both preserve privacy and keep communication effective during video conferencing. The present image background blurring technique is a light weight real-time technique to perform background blurring using a fast background modeling procedure combined with an object (e.g., face) detector/tracker. A soft decision is made at each pixel whether it belongs to the foreground or the background based on multiple vision features. The classification results are mapped to a per-pixel blurring radius image to blur the background. In another embodiment, the image background blurring technique blurs the background of the image without using the object detector.
摘要:
A combined digital and mechanical tracking system and process for generating a video using a single digital video camera that tracks a person or object of interest moving in a scene is presented. This generally involves operating the camera at a higher resolution than is needed for the application, and cropping a sub-region out of the image captured that is output as the output video. The person or object being tracked is at least partially contained within the cropped sub-region. As the person or object moves within the field of view of the camera, the location of the cropped sub-region is also moved so as to keep the subject of interest within its boundaries. When the subject of interest moves to the boundary of the FOV of the camera, the camera is mechanically panned to keep the person or object inside its FOV.
摘要:
Systems and methods for detecting people or speakers in an automated fashion are disclosed. A pool of features including more than one type of input (like audio input and video input) may be identified and used with a learning algorithm to generate a classifier that identifies people or speakers. The resulting classifier may be evaluated to detect people or speakers.
摘要:
Systems and methods for detecting people or speakers in an automated fashion are disclosed. A pool of features including more than one type of input (like audio input and video input) may be identified and used with a learning algorithm to generate a classifier that identifies people or speakers. The resulting classifier may be evaluated to detect people or speakers.
摘要:
Systems and methods for detecting people or speakers in an automated fashion are disclosed. A pool of features including more than one type of input (like audio input and video input) may be identified and used with a learning algorithm to generate a classifier that identifies people or speakers. The resulting classifier may be evaluated to detect people or speakers.
摘要:
Systems and methods for detecting people or speakers in an automated fashion are disclosed. A pool of features including more than one type of input (like audio input and video input) may be identified and used with a learning algorithm to generate a classifier that identifies people or speakers. The resulting classifier may be evaluated to detect people or speakers.
摘要:
A computer network-based distributed presentation system and process is presented that controls the display of one or more video streams output by multiple video cameras located across multiple presentation sites on display screens located at each presentation site. The distributed presentation system and process provides the ability for a user at a site to customize the screen configuration (i.e., what video streams are display at any one time and in what format) for that site via a two-layer display director module. In the design layer of the module, a user interface is provided for a user to specify display priorities dictating what video streams are to be displayed on the screen over time. These display priorities are then provided to the execution layer of the module which translates them into probabilistic timed automata and uses the automata to control what is displayed on the display screen.
摘要:
Systems and methods for detecting people or speakers in an automated fashion are disclosed. A pool of features including more than one type of input (like audio input and video input) may be identified and used with a learning algorithm to generate a classifier that identifies people or speakers. The resulting classifier may be evaluated to detect people or speakers.