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- W2943360671 abstract "Tracking has many possible applications as in surveillance systems, robot vision, automotive safety and so on. Therefore tracking of multiple targets in image sequences has become a classical task in computer vision. An example for an application is the use in driver assistance systems to avoid collisions. In this work a multi-target tracking framework which formulates multi-target tracking as minimization of a continuous energy function and solves minimization by conjugate gradient method with periodic trans-dimensional jumps is extended by an appearance-based energy term. Other than a number of recent approaches not only an appearance model consisting of a descriptor and a metric is selected. Instead many other possibilities such as weighting, prefilter and so on are considered. A couple of visual distinctive features with their parameters are optimized by random search and analyzed to find a good appearance model for the integration in the framework. The extension of the multi-target tracking framework is evaluated in experiments on two image sequences with variation in the influence of the new energy term. The addition of the appearance-based energy term leads to an increase in the performance of the tracking results." @default.
- W2943360671 created "2019-05-09" @default.
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- W2943360671 date "2012-01-01" @default.
- W2943360671 modified "2023-09-27" @default.
- W2943360671 title "Analysis of Visual Distinctive Features for the Global Tracking of Multiple Objects" @default.
- W2943360671 hasPublicationYear "2012" @default.
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