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The interest point based tracking methods suffer from the limitation of unavailability of sufficient number of matching key points for the target in all frames of a running video. In this paper, a dynamic model is proposed for describing the object model which is used for tracking a human in a non-stationary video. This dynamic model takes into account the(More)
Robotic vision, unlike computer vision, typically involves processing a stream of images from a camera with time varying pose operating in an environment with time varying lighting conditions and moving objects. Repeating robotic vision experiments under identical conditions is often impossible, making it difficult to compare different algorithms. For(More)
—This paper looks into the problem of pedestrian tracking using a monocular, potentially moving, uncalibrated camera. The pedestrians are located in each frame using a standard human detector, which are then tracked in subsequent frames. This is a challenging problem as one has to deal with complex situations like changing background, partial or full(More)
The place recognition problem comprises two distinct subproblems; recognizing a specific location in the world (“specific” or “ordinary” place recognition) and recognizing the type of place (place categorization). Both are important competencies for mobile robots and have each received significant attention in the robotics and computer vision community, but(More)
This paper elucidates the concept and development of Zigbee technology which is IEEE standard 802.15.4 in dish ordering systems in hotels. This paper has shown the concept of an automatic self ordering system directly given to the chefs by the customer. The real time ordered data is send wirelessly using Zigbee technology. Chef can get the information(More)
Detecting and tracking a human from a mobile robot platform has several applications in service robotics where a robot is expected to assist humans. In this paper, we propose a novel interest point-based algorithm that can track a human reliably under several challenging situations like variation in illumination, pose change, scaling, camera motion and(More)
In this paper, we propose a novel method for obtaining product count directly from images recorded using a monocular camera mounted on a mobile robot. This has application in robot-based retail stock assessment problem where a mobile robot is used for monitoring the stock levels on the shelves of a retail store. The products are recognized by carrying out a(More)
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