Abstract: A system and computer-implemented method of attention tracking and includes obtaining a video stream of a predefined area, the predefined area including at least one person, detecting a person image of the person in the predefined area, detecting objects in the predefined area, extracting gaze points and determining a possible attention target of the detected person, continuously tracking of attention direction of the person, determining in real time an attention score based on the attention target, and dynamically displaying, in a display device, the video stream together with attention information, including the attention score, for the person. The system and method provides real time determining of a personalized attention score for an individual student or an overall attention score for a group of students attending a lecture in a classroom environment.

Abstract: A system, apparatus and method of embedded ego vehicle speed estimation apparatus, including a car-mounted monocular camera for capturing a sequence of video frames of an outdoor scene from a moving car, where the outdoor scene includes a road, as a camera channel, and processing circuitry. The processing circuitry is configured with a single-shot network and a 3D convolutional neural network (3D-CNN), the single-shot network segments features of the road in the video frame sequence and generates a masked-attention map for the segmented road features, a concatenation circuit concatenates the masked-attention map as an additional channel to the camera channel to generate a masked-attention input, and the 3D-CNN network receives the masked-attention input and generates an estimated speed of the ego vehicle based on displacement of the segmented road features in the video sequences.