Abstract: There is provided a hypermotor activity detection system, including: a video capture device configured to monitor a patient and obtain a video input; and a processing system configured to process the video input. The processing system includes: an optical flow module configured to carry out an optical flow analysis on a video input region determined from the video input, and further determine a flow field magnitude of the video input region; and a local motion reference module configured to obtain a local motion reference value. The local reference module includes: a division module; a sub-window flow module; a local motion magnitude module; and a local motion comparison module. Further, a corresponding method for detecting hypermotor activity is provided.

Abstract: According to various embodiments of the present disclosure, there is provided a hypermotor activity detection system, including: a video capture device configured to monitor a patient and obtain a video input; and a processing system configured to process the video input, including: a optical flow module configured to carry out an optical flow analysis on a video input region determined from the video input, and further determine a flow field magnitude of the video input region; a local motion reference module including: a division module configured to divide the video input region into a plurality of sub-windows; a sub-window flow module configured to determine a sub-window flow field magnitude for each of the plurality of sub-windows; a local motion magnitude module configured to obtain a magnitude of local motion based on the sub-window flow field magnitude for each of the plurality of sub-windows; and a local motion comparison module configured to compare the magnitude of local motion with a local motion

Abstract: A system and system for monitoring water quality. The system comprises a container for receiving a flow of water to be monitored, the container containing a plurality of fish and configured such that a substantially 3-dimensional group behavior of the fish is accommodated; a first imaging device disposed above the container for obtaining top view video data of the fish; and means for identifying individual fish based on foreground object detection.

Abstract: A background image is generated based on a captured image. A data cluster is formed in pixel blocks of the background image using at least one feature of pixels in the pixel blocks. A data cluster formed in each pixel block includes a data distribution having a mean value and a standard deviation from the mean value. After generating the background image, each pixel of a subsequent captured image is compared with the data cluster of a pixel block of the background image to generate a first discrepancy value. A pixel of a subsequent image is compared with a data distribution of another adjacent pixel block of the background image to generate a second discrepancy value. Based on the discrepancy values, the pixels of the subsequent image are regarded as background or foreground pixels in a binary map, in which connected foreground pixels are marked to form a foreground object.

Abstract: A system and system for monitoring water quality. The system comprises a container for receiving a flow of water to be monitored, the container containing a plurality of fish and configured such that a substantially 3-dimensional group behaviour of the fish is accommodated; a first imaging device disposed above the container for obtaining top view video data of the fish; and means for identifying individual fish based on foreground object detection.