Fuji Xerox Co., Ltd.

Other

Don Kimber

Lynn D Wilcox

Jonathan T Foote

Patrick Chiu

Qiong Liu

John Steven Boreczky

Shingo Uchihashi

Hai Tao

Hanning Zhou

Embodiments of the present invention describe a collaborative framework for mining of surveillance videos to detect abnormal events, which introduces a two-stage training process to alleviate the high false alarm problem. In the first stage, unsupervised clustering is performed on the segments of the video streams and a set of abnormal events are combined with user feedback to generate a clean training set. In the second stage, the clean training set is used to train a more precise model for the analysis of normal events and the motion detection results from multiple cameras can be cross validated and combined. This description is not intended to be a complete description of, or limit the scope of, the invention. Other features, aspects, and objects of the invention can be obtained from a review of the specification, the figures, and the claims.

Unusual event detection via collaborative video mining

A method and apparatus for providing multi-resolution video to multiple users under hybrid human and automatic control. Initial environment and close-up images are captured using a first camera and a PTZ camera. The initial images are then stored in memory. Current environment and close-up images are captured and the an estimated difference between the initial and current images and the true image is determined. The estimated differences are weighted and compared and the stored images are updated. A close-up image is then provided to each user of the system. The close-up camera is then directed to a portion of the environment image having high distortion, and current environment and close-up images are captured again.

Capturing and producing shared multi-resolution video

A system is provided for locating a target, such as a person, relative to a projection screen, the system including two infrared light sources for casting separate shadows of the target on a translucent screen, such as those commonly used for back-projection displays. A sensitive video camera with an infrared filter over the lens that blocks all visible light is located behind the screen. This video camera captures a crisp silhouette for each of the shadows of the target. Image processing techniques detect the person's location as well as typical gestures, such as indicating or pointing to an area of the screen. This allows natural interaction with the display, for example, controlling a pointer or cursor on the screen by pointing at the desired area.

System and method for determining the location of a target in a room or small area

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Foster City, CA, United States of America

Don Kimber