Proceedings Ninth IEEE International Conference on Computer Vision 2003
DOI: 10.1109/iccv.2003.1238659
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3D tracking = classification + interpolation

Abstract: Hand gestures are examples of fast and complex motions.Computers fail to track these in fast video, but sleight of hand fools humans as well: what happens too quickly we just cannot see. We show a 3D tracker for these types of motions that relies on the recognition of familiar configurations in 2D images (classification), and fills the gaps in-between (interpolation). We illustrate this idea with experiments on hand motions similar to finger spelling. The penalty for a recognition failure is often small: if tw… Show more

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Cited by 77 publications
(43 citation statements)
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“…Hernandez-Rebollar et al [7] built their own instrumented glove in an attempt to provide a low-cost option. Other researchers [8][9][10][11] focused on improving visionbased methods to create systems that are relatively inexpensive and require only passive sensing. These systems have performed well in restricted environments.…”
Section: Related Workmentioning
confidence: 99%
“…Hernandez-Rebollar et al [7] built their own instrumented glove in an attempt to provide a low-cost option. Other researchers [8][9][10][11] focused on improving visionbased methods to create systems that are relatively inexpensive and require only passive sensing. These systems have performed well in restricted environments.…”
Section: Related Workmentioning
confidence: 99%
“…Hand locations and scale are hypothesized efficiently using cumulative likelihood maps, and the hand pose is estimated by normalized template matching. The system lifts several restrictions which are often present in real-time systems: In contrast to other methods, the system in this paper uses neither background subtraction [6] nor does it rely on binary colour segmentation [17,2,3] or gesturing at a fixed distance to the camera [23]. Finally, the method is efficient enough to detect the hand in each frame independently.…”
Section: Discussionmentioning
confidence: 99%
“…The applications in the domain of human computer interaction (HCI) are appealing: Systems have been designed for sign language recognition [1,2,3], navigation and control by hand motion [4,5,6,7], and capturing detailed finger articulation [8,9,10,11,12]. For a given recognition task, it is important to look at the assumptions made in each system in order to determine whether or not the method will work.…”
Section: Introductionmentioning
confidence: 99%
“…One of the major problems in Computer Vision is 3D tracking of articulated objects, such as hands [13,7,18,1]. Hand tracking is an indicative example of the difficulties emerging, namely large rotations, fast movements (finger articulations) and occlusions, mainly due to the hands' high dof s.…”
Section: Previous Workmentioning
confidence: 99%