Results 271 to 280 of about 4,392,511 (325)
Some of the next articles are maybe not open access.
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
European Conference on Computer Vision, 2018Despite the numerous developments in object tracking, further improvement of current tracking algorithms is limited by small and mostly saturated datasets.
Matthias Müller +4 more
semanticscholar +1 more source
SiamMask: A Framework for Fast Online Object Tracking and Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022In this article, we introduce SiamMask, a framework to perform both visual object tracking and video object segmentation, in real-time, with the same simple method.
Weiming Hu +4 more
semanticscholar +1 more source
Distractor-aware Siamese Networks for Visual Object Tracking
European Conference on Computer Vision, 2018Recently, Siamese networks have drawn great attention in visual tracking community because of their balanced accuracy and speed. However, features used in most Siamese tracking approaches can only discriminate foreground from the non-semantic backgrounds.
Zheng Zhu +5 more
semanticscholar +1 more source
Towards Real-Time Multi-Object Tracking
European Conference on Computer Vision, 2019Modern multiple object tracking (MOT) systems usually follow the tracking-by-detection paradigm. It has 1) a detection model for target localization and 2) an appearance embedding model for data association.
Zhongdao Wang +3 more
semanticscholar +1 more source
2016 23rd International Conference on Pattern Recognition (ICPR), 2016
In this paper, we address the problem of visual tracking in videos without using a pre-learned model of the object. This type of model-free tracking is a hard problem because of limited information about the object, abrupt object motion, and shape deformation.
Ivan Bogun, Eraldo Ribeiro
openaire +1 more source
In this paper, we address the problem of visual tracking in videos without using a pre-learned model of the object. This type of model-free tracking is a hard problem because of limited information about the object, abrupt object motion, and shape deformation.
Ivan Bogun, Eraldo Ribeiro
openaire +1 more source
Multiple Object Tracking as ID Prediction
Computer Vision and Pattern RecognitionMulti-Object Tracking (MOT) has been a long-standing challenge in video understanding. A natural and intuitive approach is to split this task into two parts: object detection and association.
Ruopeng Gao, Yijun Zhang, Limin Wang
semanticscholar +1 more source
Sparsely-Supervised Object Tracking
IEEE Transactions on Image ProcessingRecent years have witnessed the incredible performance boost of data-driven deep visual object trackers. Despite the success, these trackers require millions of sequential manual labels on videos for supervised training, implying the heavy burden of human annotating.
Jilai Zheng +3 more
openaire +2 more sources
2014
The moving objects tracking system aims to monitor the locations of a set of objects which are traveling in a certain space, such as animals in fields and cars in road networks. It is a popular problem due to the importance in various application scenarios.
Xiaofeng Meng, Zhiming Ding, Jiajie Xu
openaire +1 more source
The moving objects tracking system aims to monitor the locations of a set of objects which are traveling in a certain space, such as animals in fields and cars in road networks. It is a popular problem due to the importance in various application scenarios.
Xiaofeng Meng, Zhiming Ding, Jiajie Xu
openaire +1 more source
2012 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings, 2012
This paper presents an improved kernel-based target tracking that uses new and effective features able to describe the target appearance. The key idea consists of adopting features that are related to the visual perception of the target in place of its color histogram. The change of the feature space is twofold advantageous.
BRUNI, VITTORIA +2 more
openaire +1 more source
This paper presents an improved kernel-based target tracking that uses new and effective features able to describe the target appearance. The key idea consists of adopting features that are related to the visual perception of the target in place of its color histogram. The change of the feature space is twofold advantageous.
BRUNI, VITTORIA +2 more
openaire +1 more source
2018
Moving object tracking is to find out the candidate object region which is the most similar area in the image sequence through the effective expression of the object, that is to locate the target in the sequence image so as to obtain the complete motion trajectory of the moving target.
Shengrong Gong +5 more
openaire +1 more source
Moving object tracking is to find out the candidate object region which is the most similar area in the image sequence through the effective expression of the object, that is to locate the target in the sequence image so as to obtain the complete motion trajectory of the moving target.
Shengrong Gong +5 more
openaire +1 more source