Abstract: Provided is a remote control device based on computer vision technology, the remote control device includes a main body and a stand base connected with the main body. The main body includes a control unit, an output unit, a power supply unit, and a switch at least partially enclosed by a case. The control unit includes a visual sensor that collects image information and a microcontroller that outputs a control instruction to a controlled device via the output unit according to the image information collected by the visual sensor. The power supply unit is configured to supply power to the control unit and the output unit. The switch is configured to control the working state of the remote control device.

Abstract: Aspects of the present invention allow for real-time people monitoring method and system for estimation of the size and flow density of a given group of people located in a given area of space. The method and system may be used to monitor live or recorded camera input, foreground segmentation, human tracking, height estimation, and dwell estimation. In particular, human detection may be achieved using a spatio-temporal variance analysis calculation methodology for moving target detection.

Abstract: Method and system for objects surveillance and real-time activity recognition is based on analysis of spatio-temporal images of individuals under surveillance where a spatio-temporal volume occupied by each individual is decomposed by crossing the same at specific heights to form 2-dimensional slices, each containing representation of trajectory of the motion of corresponding portions of the individual body. The symmetry of the trajectories (Gait DNA) is analyzed and classified to generate data indicative of a type of activity of the individual based on the symmetry or asymmetry of the Gait DNA in each 2-dimensional slice. An effective occlusion handling ability is implemented which permits to restore the occluded silhouette of an individual.

Abstract: Aspects of the present invention allow for real-time people monitoring method and system for estimation of the size and flow density of a given group of people located in a given area of space. The method and system may be used to monitor live or recorded camera input, foreground segmentation, human tracking, height estimation, and dwell estimation. In particular, human detection may be achieved using a spatio-temporal variance analysis calculation methodology for moving target detection.

Abstract: Method and system for objects surveillance and real-time activity recognition is based on analysis of spatio-temporal images of individuals under surveillance where a spatio-temporal volume occupied by each individual is decomposed by crossing the same at specific heights to form 2-dimensional slices, each containing representation of trajectory of the motion of corresponding portions of the individual body. The symmetry of the trajectories (Gait DNA) is analyzed and classified to generate data indicative of a type of activity of the individual based on the symmetry or asymmetry of the Gait DNA in each 2-dimensional slice. An effective occlusion handling ability is implemented which permits to restore the occluded silhouette of an individual.