Ramot at Tel-aviv University Ltd.

Dan Raviv

David Mendlovic

Lior Gelberg

Menahem Koren

Khen Cohen

Mor-Avi Azulay

Systems, methods, and computer readable media for identifying a person in a video are disclosed. Systems, methods, devices, and non-transitory computer readable media may include at least one processor that may be configured to generate a spatiotemporal emotion data compendium (STEM-DC) from the video and to process the STEM-DC using a deep fully adaptive graph convolutional network (FAGC) to determine a first person representation vector that represents the person in the video.

System and method for identifying a person in a video

A dynamic vision sensor (DVS) color camera (DVS-CCam) operable to acquire a color image of a scene, the DVS-CCam including a DVS photosensor comprising DVS pixels, an illuminator operable to transmit a light pattern characterized by temporal changes in intensity and color to illuminate a scene, an optical system configured to collect and focus on the pixels of the DVS photosensor light reflected by features in the scene from the light pattern transmitted by the illuminator, and a processor configured to process DVS signals generated by the DVS pixels responsive to temporal changes in the reflected light to provide a color image of the scene.

Growing community of inventors

Tel Aviv, Israel

Dan Raviv