Essays about: "gm-phd filter"
Showing result 1 - 5 of 6 essays containing the words gm-phd filter.
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1. Tracking of Pedestrians Using Multi-Target Tracking Methods with a Group Representation
University essay from Linköpings universitet/ReglerteknikAbstract : Multi-target tracking (MTT) methods estimate the trajectory of targets from noisy measurement; therefore, they can be used to handle the pedestrian-vehicle interaction for a moving vehicle. MTT has an important part in assisting the Automated Driving System and the Advanced Driving Assistance System to avoid pedestrian-vehicle collisions. READ MORE
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2. Anomaly detection in videosurveillance feeds
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Traditional passive surveillance is proving ineffective as the number of available cameras for an operator often exceeds the operators ability to monitor them. Furthermore, monitoring surveillance cameras requires a focus that operators can only uphold for a short amount of time. READ MORE
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3. Tracking Groups of People in Video Surveillance
University essay from Reglerteknik; Tekniska högskolanAbstract : In this master thesis, the problem of tracking groups using an image sequence dataset is examined. Target tracking can be defined as the problem of estimating a target's state given prior knowledge about its motion and some sensor measurements related to the target's state. A popular method for target tracking is e.g. READ MORE
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4. The Evaluation of the Gaussian Mixture Probability Hypothesis Density Filter Applied in a Stereo Vision System
University essay from Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskapAbstract : In this thesis, the performance of the Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter using a pair of stereo vision system to overcome label discontinuity and robust tracking in an Intelligent Vision Agent System (IVAS) is evaluated. This filter is widely used in multiple-target tracking applications such as surveillance, human tracking, radar, and etc. READ MORE
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5. Human Motion Tracking The Gaussian Mixture Probability Hypothesis Density Filter Approach
University essay from Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskapAbstract : Motion tracking is an important part of the Intelligent Vision Agent System, IVAS. In this thesis, the Gaussian mixture approximation of the Probability Hypothesis Density filter (GM-PHD) was implemented to provide a reliable and computationally efficient multiple human tracker in the activity space of the IVAS. READ MORE
