IEE Proceedings - Vision Image and Signal Processing · 1994 · 216 citations · 1 references
ComputingComputer ScienceComputer VisionHuman-computer InteractionMovement AnalysisAction RecognitionGesture AnalysisGesture RecognitionMotion AnalysisMotion CaptureMotion EstimationGesture RecognizersGesture TrackingHand Gesture AnalysisHand Gestures
The study focuses on seven representative hand gestures: left, right, up, down, grab, rotate, and stop. The study proposes a model‑based method for recognizing human‑hand gestures. The method uses a finite state machine to model gesture phases, tracks fingertips across frames to compute motion trajectories, derives start and stop positions, represents gestures as vector lists, and matches them to stored models via table lookup. Results show recognition of the seven gestures sampled at 4 Hz on a SPARC‑1 without special hardware.
Presents a method for recognising human-hand gestures using a model based approach. A finite state machine is used to model four qualitatively distinct phases of a generic gesture. Fingertips are tracked in multiple frames to compute motion trajectories. The trajectories are then used for finding the start and stop position of the gesture. Gestures are represented as a list of vectors and are then matched to stored gesture vector models using table lookup based on vector displacements. Results are presented showing recognition of seven gestures using images sampled at 4 Hz on a SPARC-1 without any special hardware. The seven gestures are representatives for actions of left, right, up, down, grab, rotate, and stop.
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Robust structure from motion using motion parallax
Roberto Cipolla, Y. Okamoto, Yoshinori Kuno · 2002 · 108 citations