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Transformers in Single Object Tracking: An Experimental Survey
IEEE Access, 2023 Single-object tracking is a well-known and challenging research topic in computer vision. Over the last two decades, numerous researchers have proposed various algorithms to solve this problem and achieved promising results.
Janani Kugarajeevan +3 more
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Lightweight Siamese Network with Global Correlation for Single-Object Tracking [PDF]
SensorsRecent advancements in the field of object tracking have been notably influenced by Siamese-based trackers, which have demonstrated considerable progress in their performance and application.
Yuxuan Ding, Kehua Miao
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Radar Single Extended Object Tracking Based on Correlation Filter [PDF]
Hangkong bingqi, 2022 In traditional radar object tracking algorithms, targets are regarded as points in tracking filtering algorithms. With higher resolution in range and azimuth directions, a target can occupy multiple resolution units, so radars can obtain high-resolution ...
Li Dongdong, Fan Hongqi, Wang Liping, Kuai Yangliu
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Analisis Metode Kalman Filter, Particle Filter dan Correlation Filter Untuk Pelacakan Objek
Komputika, 2023 Object tracking is a challenging in computer vision. Object tracking is divided into two, which can be one object or several objects, depending on the object being observed.
Ridho Sholehurrohman +2 more
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Sparsity based Single Object Tracking [PDF]
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 2013 Object tracking has importance in various video processing applications like video surveillance, perceptual user interface driver assistance, tracking etc. This paper deals with a new tracking technique that combines the dictionary based background subtraction along with sparsity based tracking.
Glincy Abraham +2 more
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MULTIPLE VEHICLES AND PEOPLE TRACKING IN AERIAL IMAGERY USING STACK OF MICRO SINGLE-OBJECT-TRACKING CNNS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Geo-referenced real-time vehicle and person tracking in aerial imagery has a variety of applications such as traffic and large-scale event monitoring, disaster management, and also for input into predictive traffic and crowd models.
R. Bahmanyar, S. M. Azimi, P. Reinartz
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Fast Timeline Based Multi Object Online Tracking
Transport and Telecommunication, 2023 Fast state-of-the-art multi-object-tracking (MOT) schemes, such as reported in challenges MOT16 and Mot20, perform tracking on a single sensor, often couple tracking and detection, support only one kind of object representation or don’t take varying ...
Hünermund Martin +2 more
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Efficient Single-Shot Multi-Object Tracking for Vehicles in Traffic Scenarios
Sensors, 2021 Multi-object tracking is a significant field in computer vision since it provides essential information for video surveillance and analysis. Several different deep learning-based approaches have been developed to improve the performance of multi-object ...
Youngkeun Lee +3 more
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Variational Bayes for Robust Radar Single Object Tracking
2022 IEEE Workshop on Signal Processing Systems (SiPS), 2022 We address object tracking by radar and the robustness of the current state-of-the-art methods to process outliers. The standard tracking algorithms extract detections from radar image space to use it in the filtering stage. Filtering is performed by a Kalman filter, which assumes Gaussian distributed noise.
Sarı, Alp +3 more
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Channel Exchanging for RGB-T Tracking
Sensors, 2021 It is difficult to achieve all-weather visual object tracking in an open environment only utilizing single modality data input. Due to the complementarity of RGB and thermal infrared (TIR) data in various complex environments, a more robust object ...
Long Zhao +3 more
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