object recognition and tracking
RESEARCH PAPERS

object recognition and tracking




Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video.
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ABSTRACT Human object recognition in a physical 3-d environment is still far superior to that of any robotic vision system. We believe that one reason (out of many) for this-one that has not heretofore been significantly exploited in the artificial vision literature-is that humans 

Object tracking and recognition using deformable grid with geometrical templates
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ABSTRACT This paper presents a deformable model object recognition and tracking approach with deformable grid. A new method of geometrical templates is proposed for tension calculation in a grid. It is shown with examples, that a method of geometrical 

Consistent Visual Information Processing Applied to Object Recognition Landmark Definitionand Real-Time Tracking.
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ABSTRACT The handling of situations where multiple visual information occurs requires the fusion of visual information. This is a very common task found in the processing of multisource/multitemporal datasets, in sensor fusion, and in all kinds of active vision 

Key Object Driven Multi-category Object Recognition, Localization and Tracking Using Spatio-temporal Context.
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ABSTRACT In this paper we address the problem of recognizing, localizing and tracking multiple objects of different categories in meeting room videos. Difficulties such as lack of detail and multi-object co-occurrence make it hard to directly apply traditional object 

Performance improvement of moving object recognition and tracking algorithm using parallel processing of SURS and optical flow
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SURF and Optical Flow for moving object recognition and tracking. The object recognition and tracking is one of the most important task in computer vision, however disadvantage are many operations cause processing speed slower so that it can't do real-time object 

Object Recognition and Real-Time Tracking in Microscope Imaging
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ABSTRACT As the fields of micro-and nano-technology mature, there is going to be an increased need for industrial tools that enable the assembly and manipulation of micro- parts. The feedback mechanism in a future micro-factory will require computer vision. 

Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles
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We are blessed with light from the beginning. Either visible or invisible-it illuminates and saturates the world. Technically speaking we don't see light, but see objects with it. In the past, ancient Greeks thought that our eyes are like lanterns, sending out light rays that 

Learning attentional mechanisms for simultaneous object tracking and recognition with deep networks
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ABSTRACT We propose a novel attentional model for simultaneous object tracking and recognition that is driven by gaze data. Motivated by theories of the human perceptual system, the model consists of two interacting pathways: ventral and dorsal. The ventral 

A vision system for horizon tracking and object recognition for micro air vehicles
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ABSTRACT In this paper, we develop a unified vision system for small-scale aircraft, known broadly as Micro Air Vehicles (MAVs), that not only addresses basic flight stability and control, but also enables more intelligent missions, such as ground object recognition and 

3D hand and object tracking for intention recognition
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ABSTRACT The actions and intended actions of humans performing a wide range of tasks appear for the most part effortlessly understood by others looking on. Automatic understanding of human intentions is, of course, much less advanced, but it is certainly the 

Object tracking and recognition by edge motocompensation
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L Capodiferro, M Grilli, F Iacolucci, A Laurenti ,schema.iti.gr In the present contribution we describe an integrated technique of contour tracking based on motion compensation of salient points localized on edges, followed by a procedure of contour updating. Search of salient points is made by examination of the edge orientation 

Object recognition and tracking in a video sequence.
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RNC Gómez, AP Merino ,somi.ccadet.unam.mx ABSTRACT The rapid expansion of computer processing power combined with the rapid development of digital camera capability has resulted in equally rapid advances in computer vision capability and use. The Open Source Computer Vision Library (OpenCV), is a free 

Investigation into underwater object recognition and tracking for the SAUC-E competition
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ABSTRACT In this project, a vision based autonomous underwater vehicle (AUV) navigation system is proposed and its performance demonstrated in a mock-up mission in the SAUC-E competition. The proposed system is used to determine the colour, shape and flash rate of 

Object Tracking and Recognition using Background Estimation
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The Problem: We consider the problem of motion analysis, particularly tracking and recognition of moving objects. We suppose to use inputs from a single and static camera.(But vibrations must be taken into account.) And we also suppose that the 

Object Tracking System with Human Extraction and Recognition of Behavior
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SH Kim, JH Hwang, IK Jung ,ipedr.net ABSTRACT Since the video object tracking system with conventional single fixed camera commonly employs the camera with limited field of view (FOV), tracking cannot continue if the object being tracked swerves off the related FOV in part or in whole. To address such 

Evaluation Test Bed for Object Detection/Tracking and Text Recognition in the VACE Program
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ABSTRACT The Video Analysis and Content Extraction (VACE) program supported the development of several key component technologies which could be integrated into systems for automatic analysis of human activities and understanding of video sequences. In order 

Development of Computer Vision-Based Percussion Systems using 3D Stereoscopic Object Tracking and Gesture Recognition Capstone Design Project Final
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Objective With the introduction of consumer-level computer vision platforms, such as Microsoft's Kinect, and the powerful capabilities of open source computer vision software there has been a recent surge in the use of computer vision in the fields of art and 

Hough Forests for Object Detection, Tracking, and Action Recognition
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ABSTRACT The paper introduces Hough forests which are random forests adapted to perform a generalized Hough transform in an efficient way. Compared to previous Hough-based systems such as implicit shape models, Hough forests improve the performance of the 


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