Abstract: A system and method for human motion recognition are provided. The system includes a video sequence decomposer, a feature extractor, and a motion recognition module. The video sequence decomposer decomposes a video sequence into a plurality of atomic actions. The feature extractor extracts features from each of the plurality of atomic actions, the features including at least a motion feature and a shape feature. And the motion recognition module performs motion recognition for each of the plurality of atomic actions in response to the features.

Abstract: A system and method for human motion recognition are provided. The system includes a video sequence decomposer, a feature extractor, and a motion recognition module. The video sequence decomposer decomposes a video sequence into a plurality of atomic actions. The feature extractor extracts features from each of the plurality of atomic actions, the features including at least a motion feature and a shape feature. And the motion recognition module performs motion recognition for each of the plurality of atomic actions in response to the features.

Abstract: A method and system for recognizing the characters on surfaces where alphanumeric identification code (“ID” for short) may be present such as a license plate. The present system is particularly adapted for situations where visual distortions can occur, and utilizes a highly robust method for recognizing the characters of an ID. Multiple character recovery schemes are applied to account for a variety of conditions to ensure high accuracy in identifying the ID. Accuracy is greatly enhanced by taking a comprehensive approach where multiple criteria are taken into consideration before any conclusions are drawn. Special considerations are given to recognizing the ID as a whole and not just the individual characters.