Abstract: A cost-effective and computationally efficient hand gesture recognition system for detecting and/or tracking a face region and/or a hand region in a series of images. A skin segmentation model is updated with skin pixel information from the face and iteratively applied to the pixels in the hand region, to more accurately identify the pixels in the hand region given current lighting conditions around the image. Shape features are then extracted from the image, and based on the shape features, a hand gesture is identified in the image. The identified hand gesture may be used to generate a command signal to control the operation of an application or system.

Abstract: Methods, apparatuses, and articles associated with gesture recognition using depth images are disclosed herein. In various embodiments, an apparatus may include a face detection engine configured to determine whether a face is present in one or more gray images of respective image frames generated by a depth camera, and a hand tracking engine configured to track a hand in one or more depth images generated by the depth camera. The apparatus may further include a feature extraction and gesture inference engine configured to extract features based on results of the tracking by the hand tracking engine, and infer a hand gesture based at least in part on the extracted features. Other embodiments may also be disclosed and claimed.

Abstract: Methods, apparatuses, and articles associated with gesture recognition using depth images are disclosed herein. In various embodiments, an apparatus may include a face detection engine configured to determine whether a face is present in one or more gray images of respective image frames generated by a depth camera, and a hand tracking engine configured to track a hand in one or more depth images generated by the depth camera. The apparatus may further include a feature extraction and gesture inference engine configured to extract features based on results of the tracking by the hand tracking engine, and infer a hand gesture based at least in part on the extracted features. Other embodiments may also be disclosed and claimed.

Abstract: Systems, devices and methods are described including starting a gesture recognition engine in response to detecting an initiation gesture and using the gesture recognition engine to determine a hand posture and a hand trajectory in various depth images. The gesture recognition engine may then use the hand posture and the hand trajectory to recognize a dynamic hand gesture and provide corresponding user interface command.

Abstract: In response to a gestural command, a video currently being watched can be identified by extracting at least one decoded frame from a television transmission. The frame can be transmitted to a separate mobile device for requesting an image search and for receiving the search results. The search results can be used to obtain more information. The user's social networking friends can also be contacted to obtain more information about the clip.

Abstract: Mobile Internet devices may be used to generate Mirror World depictions. The mobile Internet devices may use inertial navigation system sensor data, combined with camera images, to develop three dimensional models. The con of an input geometric model may be aligned with edge features of the input camera images instead of using point features of images or laser scan data.