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Pure appearance based Hand Gesture Recognition and Spotting in uncontrolled environments are challenging tasks due to the uncontrolled scene settings include: multiple hand regions in the scene; background moving objects; scale, speed and location variations of the gesture trajectories; changing lighting conditions and frontal occlusions. An appearance based method based on a novel classifier weighting...
Hand gesture segmentation is the task of interpreting and spotting meaningful hand gestures from continuous hand gesture sequences with non-sign transitional hand movements. In real world scenarios, challenges from the unconstrained environments can largely affect the performance of gesture segmentation. In this paper, we propose a gesture spotting scheme which can detect and monitor all eligible...
The main obstructions of making hand gesture recognition methods robust in real-world applications are the challenges from the uncontrolled environments, including: gesturing hand out of the scene, pause during gestures, complex background, skin-coloured regions moving in background, performers wearing short sleeve and face overlapping with hand. Therefore, a framework for real-time hand gesture recognition...
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