1
Sentihil Kumar, Jakub Segen: Video hand image-three-dimensional computer interface with multiple degrees of freedom. Lucent Technologies, November 14, 2000: US06147678 (467 worldwide citation)

A video gesture-based three-dimensional computer interface system that uses images of hand gestures to control a computer and that tracks motion of the user's hand or a portion thereof in a three-dimensional coordinate system with ten degrees of freedom. The system includes a computer with image pro ...


2
Senthil Kumar, Jakub Segen: Gesture-based computer interface. Lucent Technologies, April 24, 2001: US06222465 (376 worldwide citation)

A system and method for manipulating virtual objects in a virtual environment, for drawing curves and ribbons in the virtual environment, and for selecting and executing commands for creating, deleting, moving, changing, and resizing virtual objects in the virtual environment using intuitive hand ge ...


3
Senthil Kumar, Jakub Segen: Gesture-based input interface system with shadow detection. Lucent Technologies, September 23, 2003: US06624833 (287 worldwide citation)

An input interface system provides gesture-based user control of an application running on a computer by classification of user gestures in image signals. A given one of the image signals is processed to determine if it contains one of a number of designated user gestures, e.g., a point gesture, a r ...


4
Senthil Kumar, Jakub Segen: Video hand image three-dimensional computer interface. Lucent Technologies, March 20, 2001: US06204852 (136 worldwide citation)

A video gesture-based three-dimensional computer interface system that uses images of hand gestures to control a computer and that tracks motion of the user's hand or an elongated object or a portion thereof in a three-dimensional coordinate system with five degrees of freedom. The system inclu ...


5
Jakub Segen: Video hand image computer interface. Lucent Technologies, June 26, 2001: US06252598 (120 worldwide citation)

An interface method and apparatus using video images of hand gestures. A video signal having a frame image containing regions is input to a processor. A plurality of regions in the frame are defined and screened to locate an image of a hand in one of the regions. The hand image is processed to locat ...


6
Jakub Segen: Sensing stylus position using single 1-D image sensor. AT&T, January 16, 1996: US05484966 (73 worldwide citation)

An apparatus and method for determining the location of an object in an active area of a first plane. The apparatus includes a first reflecting device, disposed substantially perpendicular to the first plane at a periphery of the active area. The first reflecting device receives a first image of the ...


7
David C Gibbon, Jakub Segen, Behzad Shahraray: Method and means for detecting people in image sequences. Lucent Technologies, November 16, 1999: US05987154 (51 worldwide citation)

The head in a series of video images is identified by digitizing sequential images, subtracting a previous image from an input image to determine moving objects, calculating boundary curvature extremes of regions in the subtracted image, comparing the extremes with a stored model of a human head to ...


8
Sarma VGK Pingali, Jakub Segen: Method and apparatus for tracking moving objects in real time using contours of the objects and feature paths. Lucent Technologies, June 9, 1998: US05764283 (43 worldwide citation)

A method and apparatus for tracking moving objects, such as people, in real time by grouping existing feature paths from a current video frame with preexisting clusters from current video frames. Grouping is accomplished by selecting, as a candidate cluster to a specified feature path, the cluster h ...


9
Jakub Segen: Method and apparatus for tracking, storing, and synthesizing an animated version of object motion. Lucent Technologies, Gibbons Deldeo Dolan Griffinger & Vecchione, June 6, 2000: US06072504 (40 worldwide citation)

The specification relates to a method and apparatus for tracking object position during active segments of motion monitored from a plurality of video cameras, repetitively sampling object position, representing various object trajectories during active segments as equations, and synthesizing an anim ...


10
Arun N Netravali, Jakub Segen: Video recognition system. AT&T Bell Laboratories, John A Caccuro, September 9, 1986: US04611347 (34 worldwide citation)

An image recognition system uses feature or attribute matching for fast coarse selection of a group of reference images which closely resemble an unknown image and thereafter selects the best reference image match from that group using 2-dimensional intensity correlation or template matching. The sy ...



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