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Recently, there has been a marked increase in using machine learning techniques for object detection because of its immunity to noise and variations in backgrounds. SLAM (Simultaneous Localization and Mapping) is an approach to mapping the environment in which the robot moves, by using landmarks, much like the human visual system. The application of a robust object detection system can be extended...
This paper is concerned with investigating, experiencing, and validating some non classic techniques for compound moving objects analysis in successive video frames. This composite-tasks problem has so far been very`rarely' dealt with as a `single' multidirectional problem, it has always been handled as several separate unidirectional, or seldom bidirectional problems. The paper exhibits an HCI system...
Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as object detection, recognition, and tracking. We propose a new method for detecting object boundaries using planar laser scanners (LIDARs) and, optionally, co-registered imagery. We formulate boundary detection as a classification...
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