AUTO-G: Gesture Recognition in the Crowd for Autonomous Vehicl
| Autor: | Soumyadeep Ghosh, Richa Singh, Mayank Vatsa, Rohit Keshari, Pavani Tripathi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science Frame (networking) Motion blur ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Variation (game tree) Pipeline (software) Gesture recognition 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Gesture |
| Zdroj: | ICIP |
| Popis: | Autonomous driving is an active area of research. An important aspect of this problem is recognizing the gestures made by humans, both inside and outside the vehicle. In this paper, we present the Auto-G database that comprises different hand gestures for autonomous driving. The database encompasses several challenges such as occlusion, low resolution, motion blur, illumination variation, extreme pose variations, along with the presence of multiple gestures within a frame. We also propose an end-to-end pipeline for hand detection and gesture recognition. The proposed pipeline achieves a frame gesture recognition accuracy of 90.23% on the proposed Auto-G database. |
| Databáze: | OpenAIRE |
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