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Human pose detectors, although successful in localising faces and torsos of people, often fail with lower arms. Motion estimation is often inaccurate under fast movements of body parts. We build a segmentation-detection algorithm that mediates the information between body parts recognition, and multi-frame motion grouping to improve both pose detection and tracking. Motion of body parts, though not accurate, is often sufficient to segment them from their backgrounds. Such segmentations aredoi:10.1109/cvpr.2013.268 dblp:conf/cvpr/FragkiadakiHS13 fatcat:4gtj5d2fxfdgfl5jw3pd7fbnha