Results 21 to 30 of about 68,167 (308)

Object Tracking with Multiple Instance Learning and Gaussian Mixture Model [PDF]

, 2015
Recently, Multiple Instance Learning (MIL) technique has been introduced for object tracking\linebreak applications, which has shown its good performance to handle drifting problem. While some instances in positive bags not only contain objects, but also
Zhao, Xiangmo, Li, Na, Bai, Bendu, Li, Daxiang, Wang, Jing   +4 more
core   +1 more source

3D Single Object Tracking with Multi-View Unsupervised Center Uncertainty Learning

CAAI Artificial Intelligence Research, 2023
Center point localization is a major factor affecting the performance of 3D single object tracking. Point clouds themselves are a set of discrete points on the local surface of an object, and there is also a lot of noise in the labeling.
Chengpeng Zhong, Hui Shuai, Jiaqing Fan, Kaihua Zhang, Qingshan Liu   +4 more
doaj   +1 more source

VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results [PDF]

, 2019
Single-object tracking, also known as visual tracking, on the drone platform attracts much attention recently with various applications in computer vision, such as filming and surveillance.
Zhu, Shengyin, Hanlin Chen, He, Zhiqun, Bian, Xiao, Luo, Xinbin, Haotian Wu, Wu, Sihang, Ding, Wenrui, Wenrui Ding, Laganière, Robert, Li, Dongdong, Liu, Chenfeng, Panagiotis Giannakeris, Choi, Jongwon, Emmanouil Michail, Wen, Longyin, Zhang, Xin, Zhu, Pengfei, Perera, Asanka G., Byeongho Heo, Juanping Zhao, Li, Haojie, Kuai, Yangliu, Shengyin Zhu, Wang, Lianjie, Liu, Qingshan, Jungong Han, Hu, Xixi, Ma, Wenya, Duan, Kaiwen, Sangdoo Yun, Lianjie Wang, Han, Jungong, Wei Tian, Tian, Wei, Chenfeng Liu, Wang, Wenhao, Yong Wang, Qi, Yuankai, Xiao Bian, Xu, Qianqian, Xiaoyu Liu, Zhao, Juanping, Ruixin Zhang, Wang, Qiang, Kompatsiaris, Ioannis, Xinbin Luo, Qianqian Xu, Yaxuan Li, Xixi Hu, Zhang, Kaihua, Zhang, Wenhua, Pengfei Zhu, Liu, Hao, Yuankai Qi, Choi, Jin Young, Asanka G. Perera, Baochang Zhang, Martin Lauer, Zhang, Baochang, Stefanos Vrochidis, Liu, Chunlei, Wenya Ma, Jiaqing Fan, Wu, Haotian, Jin Young Choi, Yang, Yifan, Qingming Huang, Meng, Yang, Zhang, Peizhen, Weidong Chen, Heo, Byeongho, Ding, Lu, Haibin Ling, Wenhao Wang, Wang, Yong, Peizhen Zhang, Jing Li, Lee, Kyuewang, Yang, Jinyu, Zhiqun He, Ling, Haibin, Giannakeris, Panagiotis, Liu, Xiaoyu, Li, Xiaotong, Lauer, Martin, Jie Zhang, Yifan Zhang, Chen, Weidong, Ke Song, Xiaotong Li, Dawei Du, Avgerinakis, Konstantinos, Zhang, Ruixin, Michail, Emmanouil, Cheng, Jian, Longyin Wen, Dongdong Li, Wenhua Zhang, Zhang, Jie, Hao Liu, Ioannis Kompatsiaris, Chunlei Liu, Konstantinos Avgerinakis, Nie, Qinqin, Zhipeng Deng, Kaihua Zhang, Qinghua Hu, Yifan Yang, Qinqin Nie, Haojie Li, Lu Ding, Xiaohao He, Hu, Weiming, Fan, Jiaqing, Zhang, Yifan, He, Xiaohao, Yanyun Zhao, Robert Laganière, Qiang Wang, Sihang Wu, Kyuewang Lee, Wei Zhang, Cheng, Hao, Jian Cheng, Yang Meng, Jinyu Yang, Qingshan Liu, Xin Zhang, Zhang, Wei, Yangliu Kuai, Vrochidis, Stefanos, Du, Dawei, Song, Ke, Li, Jing, Li, Yaxuan, Hu, Qinghua, Kaiwen Duan, Hao Cheng, Chen, Hanlin, Jongwon Choi, Huang, Qingming, Deng, Zhipeng, Zhao, Yanyun, Yun, Sangdoo, Weiming Hu   +145 more
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Semantic and context features integration for robust object tracking

IET Image Processing, 2022
Siamese network‐based object tracking learns features of a target object marked in the first frame and that of the object in subsequent frames simultaneously and then measures similarity between two features to recognize and locate the object.
Jinzhen Yao, Jianlin Zhang, Zhixing Wang, Linsong Shao   +3 more
doaj   +1 more source

Binary histogram based split/merge object detection using FPGAs [PDF]

, 2010
Tracking of objects using colour histograms has proven successful in various visual surveillance systems. Such systems rely heavily on similarity matrices to compare the appearance of targets in successive frames.
Hunter, A, Kofi Appiah, Patrick Dickinson, Meng, H, Hongying Meng, Appiah, K, Andrew Hunter, Dickinson, P   +7 more
core   +1 more source

Object tracking with measurements from single or multiple cameras [PDF]

2010 IEEE International Conference on Robotics and Automation, 2010
To be able to determine the position of a static object in 3D space by means of computer vision, it has to be seen by cameras from at least two different view points. The same applies for measuring the position of a moving object based on images captured at one single time instant.
Magnus Linderoth, Anders Robertsson, Karl Åström 0002, Rolf Johansson 0001   +3 more
openaire   +2 more sources

Analysis of object tracking algorithms performance on event-based datasets [PDF]

, 2022
The event-based camera represents a revolutionary concept, having an asynchronous output. The pixels of dynamic vision sensors react to the brightness change, resulting in streams of events at very small intervals of time.
Olaru, Alexandra (author)
core  

Multiple object tracking using particle filters [PDF]

, 2006
The particle filtering technique with multiple cues such as colour, texture and edges as observation features is a powerful technique for tracking deformable objects in image sequences with complex backgrounds.
N. Canagarajah, D. Bull, Canagarajah, N., M. Jaward, Jaward, M., Canagarajah, CN, Bull, D., Mihaylova, LS, L. Mihaylova, Mihaylova, L., Jaward, MH, Bull, DR   +11 more
core   +1 more source

Robust Tracking in Aerial Imagery Based on an Ego-Motion Bayesian Model [PDF]

, 2010
A novel strategy for object tracking in aerial imagery is presented, which is able to deal with complex situations where the camera ego-motion cannot be reliably estimated due to the aperture problem (related to low structured scenes), the strong ego ...
Narciso García, García Santos, Narciso, Jaureguizar Núñez, Fernando, Carlos R. del Blanco, Fernando Jaureguizar, Blanco Adán, Carlos Roberto del   +5 more
core   +2 more sources

A robust single and multiple moving object detection, tracking and classification [PDF]

Applied Computing and Informatics, 2021
Surveillance is the emerging concept in the current technology, as it plays a vital role in monitoring keen activities at the nooks and corner of the world.
T. Mahalingam, M. Subramoniam
doaj   +1 more source