multiple object
A Scalable Clustered Camera System for Multiple Object Tracking
... by multiple cameras is an important and challenging problem, which finds wide-ranging application ...from multiple cameras is processed on a single processing unit or by a centralized ...for multiple ...
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Electrophysiological correlates of multiple object processing
... In Chapter 2 I will describe two ERP experiments aimed at establishing the involvement of both early and late mechanisms in response to changes in the numerosity of the target elements. As highlighted before, only two ...
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The Application of Neural Network in Multiple Object Tracking
... Compared with other fields, the application of neural networks in multiple object tracking is the main reasons are as follows. Firstly, neural networks usually need a huge number of training data to learn ...
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Category-based grouping in working memory and multiple object tracking
... Two prominent cognitive capacity limitations are the maximal number of objects we can place in working memory (WM) and the maximal number of objects we can track in a display. Both are believed to have a numeric value of ...
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Human Opinion Dynamics Used for Efficient Multiple Object Tracking
... Rajabi and Nahvi [16] proposed a modified contour-based multiple object tracking algorithm using point processing. This approach has the advantage of multiple objects tracking. Their system can ...
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Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
... measure multiple object tracker ...measuring object configuration errors, and 4 for measuring inconsistencies in object labeling over ...estimating object positions, its ability to ...
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An enhanced Probability based object tracking technique for Multiple Object Tracking
... for object tracking as it keeps the record of the state of the object based on the probability density over a given ...for multiple object tracking and handles various ...based object ...
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Multiple Object Detection and Tracking: A Survey
... [4]. Object tracking is a core of several computer vision applications such as traffic monitoring, video surveillance, video animation, robot vision and many more ...of multiple object tracking ...
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Multiple object tracking using particle filters
... handled by the hybrid state estimation framework for joint tracking of all existing targets (with an extended state vec- tor). Joint tracking of targets avoids the possibility of several independent filters, but the ...
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Location Tracking of Multiple Object & Communication between Object
... of object tracking devices have been developed so far and are commercially ...real-time object tracking system using off-the-shelf ...operated object tracking system has been developed that can also ...
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Terrorist Scanner Radar with Multiple Object Detection
... metallic object detection with microwave measurement ...metallic object detection using swept frequency radar (Yong Li ...metallic object detection using swept frequency ...metallic object ...
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Perception of spatial information in a multiple object auditory space
... Auditory space produced by means of a Continuous Transmission Frequency Modulated CTFM wide beam wide band sonar has been used in a sensory aid for the blind for some time... using this [r] ...
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Multi Feature Based Multiple Particle Filters for Object Tracking
... Abstract. Multiple Object tracking is a fundamental step for many computer vision ...with multiple particle filters for automatic multiple targets detecting and ...integrate multiple ...
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ANALYSIS FOR VISUAL TRACKING VIA CONMF AND PCA
... A moving object or multiple object are located through the process of visual tracking over time using a camera. It is one of the most important components in numerous applications such as military, ...
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Multiple prediction combination and confidence measures for marine object detection
... Both of these methods multiply classification time by the number of orientations used. Jones and Viola avoided this for the second method by training a pose estimator decision tree which predicts which of 12 binary ...
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Multiple prediction combination and confidence measures for marine object detection
... Many of the fish were faint, blurred or occluded. Some were hard to count even by a human annotator. To train classifiers to detect them would confuse the trainer as it tried to find features which differentiated between ...
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Multiple prediction combination and confidence measures for marine object detection
... in object detection are usually far more costly than false positives, and in a Haar Classifier Cascade a single negative stage response will make the whole cascade return ...
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Multiple prediction combination and confidence measures for marine object detection
... Virtual attribute subsetting is a meta-classification technique which will be shown in chapter 6 to improve the performance of the confidence mapping technique described there. It was created in this work as a generic ...
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Multiple prediction combination and confidence measures for marine object detection
... 6.13 ROC curves for seahorse segment detection using binary detection, bi- nary detection followed by hill-climbing, and confidence mapping . . . . 99 6.14 Frequency of hill-climbing steps made during object ...
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Multiple prediction combination and confidence measures for marine object detection
... Cascade object detection ...from multiple cascades, and to be more robust to suboptimal choices of cascade training angle range than binary detection using the same ...
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