Results 11 to 20 of about 106,893 (311)
Confidence-Guided Frame Skipping to Enhance Object Tracking Speed [PDF]
SensorsObject tracking is a challenging task in computer vision. While simple tracking methods offer fast speeds, they often fail to track targets. To address this issue, traditional methods typically rely on complex algorithms.
Yun Gu Lee
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A two stage multi object tracking algorithm with transformer and attention mechanism [PDF]
Scientific ReportsIn the field of engineering safety, multi-object tracking encounters difficulties in effectively conducting object detection due to occlusion, as well as the issue of experiencing frequent switching of target identity ID switches (IDs).
Mingxing Hou +3 more
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IEEE Access, 2021 Object tracking is an important basis for the autonomous navigation of unmanned surface vehicles. However, several problems still must be addressed for a wide applicating of object tracking in unmanned surface vehicles.
Qingze Yu, Bo Wang, Yumin Su
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Tracking of a Fixed-Shape Moving Object Based on the Gradient Descent Method
Sensors, 2022 Tracking moving objects is one of the most promising yet the most challenging research areas pertaining to computer vision, pattern recognition and image processing.
Haris Masood +6 more
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Object-Tracking Algorithm Combining Motion Direction and Time Series
Applied Sciences, 2023 Object tracking using deep learning is a crucial research direction within intelligent vision processing. One of the key challenges in object tracking is accurately predicting the object’s motion direction in consecutive frames while accounting for the ...
Jianjun Su, Chenmou Wu, Shuqun Yang
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A New Object Tracking Framework for Interest Point Based Feature Extraction Algorithms
Elektronika ir Elektrotechnika, 2020 This paper presents a novel object tracking framework for interest point based feature extracting algorithms. The proposed framework uses the feature extracting algorithm without making any changes and it relies on outlier detection, object modelling ...
Zafer Guler, Ahmet Cinar, Erdal Ozbay
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SynTrackThinking improves multimodal multi-object tracking for autonomous driving through frequency-aware fusion and temporal contrastive learning [PDF]
Sci RepZhihao Su, Wei Chang
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Remote Sensing, 2022 The task of multi-object tracking via deep learning methods for UAV videos has become an important research direction. However, with some current multiple object tracking methods, the relationship between object detection and tracking is not well handled,
Yeneng Lin +5 more
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Parallel tracking and detection for long-term object tracking
International Journal of Advanced Robotic Systems, 2020 High tracking frame rates have been achieved based on traditional tracking methods which however would fail due to drifts of the object template or model, especially when the object disappears from the camera’s field of view.
Dan Xiong +5 more
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Multi-Object Tracking on SWIR Images for City Surveillance in an Edge-Computing Environment
Sensors, 2023 Although Short-Wave Infrared (SWIR) sensors have advantages in terms of robustness in bad weather and low-light conditions, the SWIR images have not been well studied for automated object detection and tracking systems.
Jihun Park +3 more
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