Abstract: A method of imaging an area using an unmanned aerial vehicle (UAV) collects a plurality of images from a sensor mounted to the UAV. The plurality of images are processed to detect regions that require additional imaging and an updated flight plan and sensor gimbal position plan is created to capture portions of the area identified as requiring additional imaging.

Abstract: A method of imaging an area using an unmanned aerial vehicle (UAV) collects a plurality of images from a sensor mounted to the UAV. The plurality of images are processed to detect regions that require additional imaging and an updated flight plan and sensor gimbal position plan is created to capture portions of the area identified as requiring additional imaging.

Abstract: A method of imaging an area using an unmanned aerial vehicle (UAV) collects a plurality of images from a sensor mounted to the UAV. The plurality of images are processed to detect regions that require additional imaging and an updated flight plan and sensor gimbal position plan is created to capture portions of the area identified as requiring additional imaging.

Abstract: A method of imaging an area using an unmanned aerial vehicle (UAV) collects a plurality of images from a sensor mounted to the UAV. The plurality of images are processed to detect regions that require additional imaging and an updated flight plan and sensor gimbal position plan is created to capture portions of the area identified as requiring additional imaging.

Abstract: A video analytic system includes a depth stream sensor, spatial analysis module, temporal analysis module, and analytics module. The spatial analysis module iteratively identifies objects of interest based on local maximum or minimum depth stream values within each frame, removes identified objects of interest, and repeats until all objects of interest have been identified. The temporal analysis module associates each object of interest in the current frame with an object of interest identified in a previous frame, wherein the temporal analysis module utilizes the association between current frame objects of interest and previous frame objects of interest to generate temporal features related to each object of interest. The analytics module detects events based on the received temporal features.

Abstract: A video analytic system includes a depth stream sensor, spatial analysis module, temporal analysis module, and analytics module. The spatial analysis module iteratively identifies objects of interest based on local maximum or minimum depth stream values within each frame, removes identified objects of interest, and repeats until all objects of interest have been identified. The temporal analysis module associates each object of interest in the current frame with an object of interest identified in a previous frame, wherein the temporal analysis module utilizes the association between current frame objects of interest and previous frame objects of interest to generate temporal features related to each object of interest. The analytics module detects events based on the received temporal features.

Abstract: A video analytic system includes a depth stream sensor, spatial analysis module, temporal analysis module, and analytics module. The spatial analysis module iteratively identifies objects of interest based on local maximum or minimum depth stream values within each frame, removes identified objects of interest, and repeats until all objects of interest have been identified. The temporal analysis module associates each object of interest in the current frame with an object of interest identified in a previous frame, wherein the temporal analysis module utilizes the association between current frame objects of interest and previous frame objects of interest to generate temporal features related to each object of interest. The analytics module detects events based on the received temporal features.

Abstract: A video analytic system includes a depth stream sensor, spatial analysis module, temporal analysis module, and analytics module. The spatial analysis module iteratively identifies objects of interest based on local maximum or minimum depth stream values within each frame, removes identified objects of interest, and repeats until all objects of interest have been identified. The temporal analysis module associates each object of interest in the current frame with an object of interest identified in a previous frame, wherein the temporal analysis module utilizes the association between current frame objects of interest and previous frame objects of interest to generate temporal features related to each object of interest. The analytics module detects events based on the received temporal features.