Abstract: Techniques for calibrating a video detection system are disclosed. A videoconferencing system may include a sensor configured to capture sequential frames of video image data during a videoconference. A processing subsystem may be configured to, using a multidimensional filter, generate data indicative of active areas of interest detected within respective ones of a plurality of video frames captured by the sensor, wherein the multidimensional filter is configured to identify active areas of interest (AAOIs) based at least on part upon a programmable density threshold. The processing subsystem may further: determine, based on the data indicative of AAOIs, that the videoconferencing system is in an unstable state; perform a calibration routine to identify one or more threshold values that reduce system instability; and apply the one or more threshold values to the multidimensional filter during further generation of data indicative of active areas of interest.

Abstract: Techniques for video processing using a topological map are disclosed. Program instructions stored on a computer-readable medium may be executable to receive data indicative of an active area of interest detected within a video frame captured by a detection system, and based upon one or more inclusion criteria, include the active area of interest within a stack of previously identified active areas of interest. The stack may occupy a primary frame within a two-dimensional video space. The instructions may be further executable to update a topological map of the two-dimensional video space based upon the stack, identify within the topological map a two-dimensional region that satisfies a density threshold, and adjust framing of a primary imaging camera based upon the two-dimensional region.

Abstract: Techniques for video processing using a topological map are disclosed. Program instructions stored on a computer-readable medium may be executable to receive data indicative of an active area of interest detected within a video frame captured by a detection system, and based upon one or more inclusion criteria, include the active area of interest within a stack of previously identified active areas of interest. The stack may occupy a primary frame within a two-dimensional video space. The instructions may be further executable to update a topological map of the two-dimensional video space based upon the stack, identify within the topological map a two-dimensional region that satisfies a density threshold, and adjust framing of a primary imaging camera based upon the two-dimensional region.

Abstract: Techniques for detecting an active area of interest within video data are disclosed. A videoconferencing system may include a sensor configured to capture sequential frames of video image data during a videoconference, and a processing subsystem. The processing subsystem may be configured to, for a given frame, apply filter(s) to individual pixels of the given frame to identify one or more pixels of interest within the given frame, where the filter(s) include a motion detection filter. The processing subsystem may further apply a multidimensional filter to the one or more pixels of interest, the multidimensional filter specifying one or more programmable density thresholds. The processing subsystem may further designate at least one group of pixels of interest that satisfies the one or more programmable density thresholds as an active area of interest; and control an aspect of the videoconference based at least in part upon the active area of interest.

Abstract: Techniques for detecting an active area of interest within video data are disclosed. A videoconferencing system may include a sensor configured to capture sequential frames of video image data during a videoconference, and a processing subsystem. The processing subsystem may be configured to, for a given frame, apply filter(s) to individual pixels of the given frame to identify one or more pixels of interest within the given frame, where the filter(s) include a motion detection filter. The processing subsystem may further apply a multidimensional filter to the one or more pixels of interest, the multidimensional filter specifying one or more programmable density thresholds. The processing subsystem may further designate at least one group of pixels of interest that satisfies the one or more programmable density thresholds as an active area of interest; and control an aspect of the videoconference based at least in part upon the active area of interest.

Abstract: Techniques for calibrating a video detection system are disclosed. A videoconferencing system may include a sensor configured to capture sequential frames of video image data during a videoconference. A processing subsystem may be configured to, using a multidimensional filter, generate data indicative of active areas of interest detected within respective ones of a plurality of video frames captured by the sensor, wherein the multidimensional filter is configured to identify active areas of interest (AAOIs) based at least on part upon a programmable density threshold. The processing subsystem may further: determine, based on the data indicative of AAOIs, that the videoconferencing system is in an unstable state; perform a calibration routine to identify one or more threshold values that reduce system instability; and apply the one or more threshold values to the multidimensional filter during further generation of data indicative of active areas of interest.