Single-camera-based gesture convex hull detection and palm positioning method

Abstract

The invention relates to a single-camera-based gesture convex hull detection and palm positioning method. The method comprises the steps that a single camera acquires a gesture image; denoising preprocessing is carried out on the acquired image; gesture motion, color detection and segmentation are carried out; gesture contour tracking detection is carried out; gesture contour convex hull detection is carried out; and gesture convex hull convex defect detection and gesture palm positioning are carried out. The method uses a convex hull algorithm and a smallest enclosing circle algorithm to realize gesture convex hull detection and palm positioned. The problems of gesture variability and diversity and light factor interference vulnerability are solved. The accuracy, the stability and the practicality of gesture palm positioning are improved. The method has high research significance and broad application prospects in a gesture identification technology based on vision.

Description

technical field [0001] The invention relates to the fields of computer vision and image processing, in particular to a method for gesture convex hull detection and palm positioning based on a monocular camera. Background technique [0002] With the rapid development of computer technology, new interaction methods based on touch, voice, gesture, and somatosensory have become one of the inevitable trends in research in recent years, making human-centered human-computer interaction technology have broad application prospects. As we all know, gestures are a way to express computer instructions intuitively and visually. Due to the complexity, diversity and uncertainty of gestures, gesture recognition has become a challenging research topic in the field of human-computer interaction. At present, the research on gesture detection and recognition related technologies has become an important research direction in digital image processing, artificial intelligence, computer vision, pa...

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Problems solved by technology

At the same time, debugging experiments of gesture recognition systems in real environments often encounter problems such as complex and uncertain background environments, uncertain ambient lighting conditions, changes in image space information, and changes in inaccurate gestures.

[0003] At present, there is no in-depth and detailed research on gesture convex hull detection and palm positioning technology in China. Therefore, the methods of gesture convex hull detection and palm positioning based on monocular cameras are relatively lacking.

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