| 摘要 |
Techniques are provided for image-based real-time gesture recognition. Video data of a person is obtained. Pixels are classified in the video stream at a given time instance during a time period as a foreground or a background pixel. A data entry is generated comprising data indicating foreground history values for each of a plurality of time instances of the video stream and data indicating a time period value. When the classifying indicates that a first pixel is a foreground pixel, the data structure associated with the first pixel is evaluated to determine whether or not to update a foreground history value associated with the first pixel at the given time instance. A motion gradient vector is generated for the video stream based on the foreground history value associated with the first pixel and foreground history values associated with other pixels. |
