Search Results - subject:"Object Tracking"

A dual bounding framework through cost splitting for binary quadratic optimization

Bayani, Mahdis; Rostami, Borzou; Adulyasak, Yossiri; … - In: INFORMS journal on computing : JOC ; charting new … 36 (2024) 6, pp. 1501-1521

Persistent link: https://www.econbiz.de/10015164605

A comprehensive survey on deep learning techniques for digital video forensics

Vigneshwaran, T.; Velammal, B. L. - In: Journal of information & knowledge management : JIKM 23 (2024) 3, pp. 1-20

Persistent link: https://www.econbiz.de/10014575640

A dual bounding framework for binary quadratic combinatorial optimization

Bayani, Mahdis; Rostami, Borzou; Adulyasak, Yossiri; … - 2021

Persistent link: https://www.econbiz.de/10012664474

Densely connected Siamese network visual tracking

Zhou, Xiaolong; Wang, Pinghao; Chan, Sixian; Fang, Kai; … - In: Industrial Robot: the international journal of robotics … 48 (2021) 5, pp. 680-687

Purpose Visual object tracking plays a significant role in intelligent robot systems. This study aims to focus on … Siamese trackers. Design/methodology/approach This paper presents a novel and efficient Siamese architecture for visual object … tracking which introduces densely connected convolutional layers and a dynamic template update strategy into Siamese tracker …

Persistent link: https://www.econbiz.de/10014835354

Object detection and tracking in real time videos

Llano, Christian R.; Ren, Yuan; Shaikh, Nazrul I. - In: International journal of information systems in the … 11 (2019) 2, pp. 1-17

Persistent link: https://www.econbiz.de/10012007678

A Context Based Tracking for Similar and Deformable Objects

Jalal, Anand Singh; Kaushik, Bhavana; Kumar, Manoj; … - In: International Journal of Computer Vision and Image … 8 (2018) 4, pp. 1-15

Object detection and tracking is the most basic and important process to understand video content. Due to its numerous applications, it has attracted many researchers to the field. Lots of work has been done in tracking; however, tracking of a deformable object is still in its initial stage....

Persistent link: https://www.econbiz.de/10012043857

Research on Object Tracking Based on Graph Model in Sports Video

Cui, Zhexiong; Zhang, Jun; Zhang, XiaoFei; Xu, Lishu - In: Journal of Information Technology Research (JITR) 11 (2018) 3, pp. 1-14

This article is about object tracking based on graph modeling. Object tracking is usually initialized by object …

Persistent link: https://www.econbiz.de/10012049166

Efficient Data Reporting in a Multi-Object Tracking Using WSNs

Elfouly, Fatma H.; Ramadan, Rabie A.; Mahmoud, Mohamed I.; … - In: International Journal of System Dynamics Applications … 6 (2017) 1, pp. 38-57

Object tracking is one of the most important applications in wireless sensor networks (WSNs). Many recent articles have … object tracking in WSNs. This paper aims to achieve both minimum energy consumption in reporting operation and balanced … previous works related to the authors' topic, such as LR-based object tracking algorithm, SEB, EPWSN, and ACO. …

Persistent link: https://www.econbiz.de/10012047445

Probabilistic Background Model by Density Forests for Tracking

Oiwa, Daimu; Fukui, Shinji; Iwahori, Yuji; Nakamura, … - In: International Journal of Software Innovation (IJSI) 5 (2017) 2, pp. 1-16

This paper proposes an approach for a robust tracking method to the objects intersection with appearances similar to a target object. The target is image sequences taken by a moving camera in this paper. Tracking methods using color information tend to track mistakenly a background region or an...

Persistent link: https://www.econbiz.de/10012047786

Tracking Patterns with Particle Swarm Optimization and Genetic Algorithms

Tavares, Yuri Marchetti; Nedjah, Nadia; Mourelle, Luiza … - In: International Journal of Swarm Intelligence Research (IJSIR) 8 (2017) 2, pp. 34-49

The template matching is an important technique used in pattern recognition. The goal is to find a given pattern, of a prescribed model, in a frame sequence. In order to evaluate the similarity of two images, the Pearson's Correlation Coefficient (PCC) is used. This coefficient is calculated for...

Persistent link: https://www.econbiz.de/10012047847