A Real-Time System for Shoppers' Action Recognition

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The paper proposes a pose-based real-time system for inferring the engagement of a shopper with a retail shelf by recognizing some atomic actions of shelf-interaction. These actions include examining the shelf, reaching for an object, taking an object, reading a product’s label and placing it on a cart for check-out. A novel pose representation that is robust to large intra-class variations while performing these retail actions, is proposed in this work. The paper also extends the framework to do real-time action segmentation, abnormal action detection and configurable privacy protection of shoppers...