You are currently viewing a new version of our website. To view the old version click .

30 Results Found

  • Article
  • Open Access
1,235 Views
19 Pages

24 June 2025

The flight capability of drones expands the surveillance area and allows drones to be mobile platforms. Therefore, it is important to estimate the kinematic state of drones. In this paper, the kinematic state of a mini drone in flight is estimated ba...

  • Article
  • Open Access
3 Citations
2,351 Views
23 Pages

Fast Grasping Technique for Differentiated Mobile Phone Frame Based on Visual Guidance

  • Rongli Zhao,
  • Zeren Bao,
  • Wanyu Xiao,
  • Shangwen Zou,
  • Guangxin Zou,
  • Yuan Xie and
  • Jiewu Leng

30 June 2023

With the increasing automation of mobile phone assembly, industrial robots are gradually being used in production lines for loading and unloading operations. At present, industrial robots are mainly used in online teaching mode, in which the robot&rs...

  • Article
  • Open Access
27 Citations
4,323 Views
17 Pages

Energy Disaggregation Using Elastic Matching Algorithms

  • Pascal A. Schirmer,
  • Iosif Mporas and
  • Michael Paraskevas

6 January 2020

In this article an energy disaggregation architecture using elastic matching algorithms is presented. The architecture uses a database of reference energy consumption signatures and compares them with incoming energy consumption frames using template...

  • Article
  • Open Access
4 Citations
2,457 Views
35 Pages

Co-Design Dedicated System for Efficient Object Tracking Using Swarm Intelligence-Oriented Search Strategies

  • Nadia Nedjah,
  • Alexandre V. Cardoso,
  • Yuri M. Tavares,
  • Luiza de Macedo Mourelle,
  • Brij Booshan Gupta and
  • Varsha Arya

25 June 2023

The template matching technique is one of the most applied methods to find patterns in images, in which a reduced-size image, called a target, is searched within another image that represents the overall environment. In this work, template matching i...

  • Article
  • Open Access
2,024 Views
17 Pages

Modulated Memory Network for Video Object Segmentation

  • Hannan Lu,
  • Zixian Guo and
  • Wangmeng Zuo

15 March 2024

Existing video object segmentation (VOS) methods based on matching techniques commonly employ a reference set comprising historical segmented frames, referred to as ‘memory frames’, to facilitate the segmentation process. However, these m...

  • Article
  • Open Access
19 Citations
4,997 Views
23 Pages

29 January 2020

The estimation of the Instantaneous Angular Speed (IAS) has in recent years attracted a growing interest in the diagnostics of rotating machines. Measurement of the IAS can be used as a source of information of the machine condition per se, or for pe...

  • Article
  • Open Access
9 Citations
4,043 Views
19 Pages

1 November 2020

The emerging satellite videos provide the opportunity to detect moving objects and track their trajectories, which were not possible for remotely sensed imagery with limited temporal resolution. So far, most studies using satellite video data have be...

  • Article
  • Open Access
25 Citations
6,036 Views
14 Pages

Fast Target Recognition Based on Improved ORB Feature

  • Yinggang Xie,
  • Quan Wang,
  • Yuanxiong Chang and
  • Xueyuan Zhang

13 January 2022

A novel fast target recognition algorithm is proposed under the dynamic scene moving target recognition. Aiming at the poor matching effect of the traditional Oriented Fast and Rotated Brief (ORB) algorithm on underexposed or overexposed images cause...

  • Article
  • Open Access
1 Citations
1,541 Views
16 Pages

10 May 2024

With the wide application of deep learning, power inspection technology has made great progress. However, substation inspection videos often present challenges such as complex backgrounds, uneven lighting distribution, variations in the appearance of...

  • Article
  • Open Access
588 Views
24 Pages

25 September 2025

Pedestrian localization is a fundamental sensing task for intelligent outdoor systems. To overcome the limitations of accuracy and efficiency in conventional binocular approaches, this study introduces a trinocular stereo vision framework that integr...

  • Article
  • Open Access
728 Views
18 Pages

SATrack: Semantic-Aware Alignment Framework for Visual–Language Tracking

  • Yangyang Tian,
  • Liusen Xu,
  • Zhe Li,
  • Liang Jiang,
  • Cen Chen and
  • Huanlong Zhang

4 October 2025

Visual–language tracking often faces challenges like target deformation and confusion caused by similar objects. These issues can disrupt the alignment between visual inputs and their textual descriptions, leading to cross-modal semantic drift...

  • Article
  • Open Access
24 Citations
6,949 Views
33 Pages

12 November 2012

In video analytics, robust observation detection is very important as thecontent of the videos varies a lot, especially for tracking implementation. Contraryto the image processing field, the problems of blurring, moderate deformation, lowilluminatio...

  • Article
  • Open Access
637 Views
16 Pages

30 May 2025

A sufficient number of sensors installed in all structural components is a prerequisite for obtaining the full-field temporal–spatial displacement and is essential for large-scale structure health monitoring. In this paper, a novel lightweight...

  • Article
  • Open Access
3 Citations
2,221 Views
18 Pages

Learning Template-Constraint Real-Time Siamese Tracker for Drone AI Devices via Concatenation

  • Zhewei Wu,
  • Qihe Liu,
  • Shijie Zhou,
  • Shilin Qiu,
  • Zhun Zhang and
  • Yi Zeng

20 September 2023

Significant progress has been made in object tracking tasks thanks to the application of deep learning. However, current deep neural network-based object tracking methods often rely on stacking sub-modules and introducing complex structures to improv...

  • Article
  • Open Access
8 Citations
2,190 Views
16 Pages

Detection and Positioning of Camellia oleifera Fruit Based on LBP Image Texture Matching and Binocular Stereo Vision

  • Xiangming Lei,
  • Mingliang Wu,
  • Yajun Li,
  • Anwen Liu,
  • Zhenhui Tang,
  • Shang Chen and
  • Yang Xiang

16 August 2023

To achieve the rapid recognition and accurate picking of Camellia oleifera fruits, a binocular vision system composed of two industrial cameras was used to collect images of Camellia oleifera fruits in natural environments. The YOLOv7 convolutional n...

  • Article
  • Open Access
2,891 Views
28 Pages

A Very High-Speed Validation Scheme Based on Template Matching for Segmented Character Expiration Codes on Beverage Cans

  • José C. Rodríguez-Rodríguez,
  • Gabriele S. de Blasio,
  • Carmelo R. García and
  • Alexis Quesada-Arencibia

2 June 2020

This paper expands upon a previous publication and is the natural continuation of an earlier study which presented an industrial validator of expiration codes printed on aluminium or tin cans, called MONICOD. MONICOD is distinguished by its high oper...

  • Article
  • Open Access
11 Citations
4,555 Views
18 Pages

20 April 2022

Head pose and eye gaze are vital clues for analysing a driver’s visual attention. Previous approaches achieve promising results from point clouds in constrained conditions. However, these approaches face challenges in the complex naturalistic d...

  • Article
  • Open Access
24 Citations
5,930 Views
18 Pages

Non-Contact Measurement of the Surface Displacement of a Slope Based on a Smart Binocular Vision System

  • Leping He,
  • Jie Tan,
  • Qijun Hu,
  • Songsheng He,
  • Qijie Cai,
  • Yutong Fu and
  • Shuang Tang

31 August 2018

The paper presents an intelligent real-time slope surface deformation monitoring system based on binocular stereo-vision. To adapt the system to field slope monitoring, a design scheme of concentric marking point is proposed. Techniques including Zer...

  • Article
  • Open Access
1,862 Views
18 Pages

Template-Guided Hierarchical Multi-View Registration Framework of Unordered Bridge Terrestrial Laser Scanning Data

  • Guikai Xiong,
  • Na Cui,
  • Jiepeng Liu,
  • Yan Zeng,
  • Hanxin Chen,
  • Chengliang Huang and
  • Hao Xu

21 February 2024

The registration of bridge point cloud data (PCD) is an important preprocessing step for tasks such as bridge modeling, deformation detection, and bridge health monitoring. However, most existing research on bridge PCD registration only focused on pa...

  • Article
  • Open Access
210 Views
24 Pages

26 November 2025

Three-dimensional (3D) reconstruction is increasingly being adopted in construction site management. While most existing studies rely on auxiliary equipment such as LiDAR and depth cameras, monocular depth estimation offers broader applicability unde...

  • Article
  • Open Access
3 Citations
10,387 Views
29 Pages

Towards Sensor-Actuator Coupling in an Automated Order Picking System by Detecting Sealed Seams on Pouch Packed Goods

  • Frank Weichert,
  • Adrian Böckenkamp,
  • Christian Prasse,
  • Constantin Timm,
  • Bartholomäus Rudak,
  • Klaas Hölscher and
  • Michael Ten Hompel

In this paper, a novel concept of coupling the actuators of an automated order picking system for pouch packed goods with an embedded CCD camera sensor by means of image processing and machine learning is presented. The picking system mechanically co...

  • Article
  • Open Access
4 Citations
2,325 Views
12 Pages

Attention and Pixel Matching in RGB-T Object Tracking

  • Da Li,
  • Yao Zhang,
  • Min Chen and
  • Haoxiang Chai

29 March 2023

Visual object tracking using visible light images and thermal infrared images, named RGB-T tracking, has recently attracted increasing attention in the tracking community. Deep neural network-based methods becoming the most popular RGB-T trackers, st...

  • Article
  • Open Access
4 Citations
1,695 Views
15 Pages

Quantifying Nesting Behavior Metrics of Broiler Breeder Hens with Computationally Efficient Image Processing Algorithms and Big Data Analytics

  • Aravind Mandiga,
  • Guoming Li,
  • Jeanna L. Wilson,
  • Tianming Liu,
  • Venkat Umesh Chandra Bodempudi and
  • Jacob Hunter Mason

Nesting behaviors are important to understand facility design, resource allowance, animal welfare, and the health of broiler breeder hens. How to automatically extract informative nesting behavior metrics of broiler breeder hens remains a question. T...

  • Review
  • Open Access
1 Citations
5,666 Views
27 Pages

In the contemporary era, dizziness is a prevalent ailment among patients. It can be caused by either vestibular neuritis or a stroke. Given the lack of diagnostic utility of instrumental methods in acute isolated vertigo, the differentiation of vesti...

  • Article
  • Open Access
429 Citations
18,211 Views
19 Pages

A Vision-Based Sensor for Noncontact Structural Displacement Measurement

  • Dongming Feng,
  • Maria Q. Feng,
  • Ekin Ozer and
  • Yoshio Fukuda

9 July 2015

Conventional displacement sensors have limitations in practical applications. This paper develops a vision sensor system for remote measurement of structural displacements. An advanced template matching algorithm, referred to as the upsampled cross c...

  • Article
  • Open Access
1 Citations
1,285 Views
16 Pages

A Robust AR-DSNet Tracking Registration Method in Complex Scenarios

  • Xiaomei Lei,
  • Wenhuan Lu,
  • Jiu Yong and
  • Jianguo Wei

A robust AR-DSNet (Augmented Reality method based on DSST and SiamFC networks) tracking registration method in complex scenarios is proposed to improve the ability of AR (Augmented Reality) tracking registration to distinguish target foreground and s...

  • Article
  • Open Access
23 Citations
3,069 Views
15 Pages

25 February 2021

Pedestrian tracking is an important research content in the field of computer vision. Tracking is achieved by predicting the position of a specific pedestrian in each frame of a video. Pedestrian tracking methods include neural network-based methods...

  • Article
  • Open Access
11 Citations
2,791 Views
24 Pages

22 February 2023

In recent years, visual tracking has been employed in all walks of life. The Siamese trackers formulate the tracking problem as a template-matching process, and most of them can meet the real-time requirements, making them more suitable for UAV track...

  • Article
  • Open Access
6 Citations
3,961 Views
15 Pages

26 April 2020

Lane detection and tracking in a complex road environment is one of the most important research areas in highly automated driving systems. Studies on lane detection cover a variety of difficulties, such as shadowy situations, dimmed lane painting, an...

  • Article
  • Open Access
4 Citations
1,759 Views
16 Pages

Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video Streaming

  • Yi Huangfu,
  • Hongming Chen,
  • Zhonghao Huang,
  • Wenfeng Li,
  • Jie Shi and
  • Linlin Yang

3 December 2024

Background: Corn is the main grain crop grown in China, and the ear shape index of corn is an important parameter for breeding new varieties, including ear length, diameter, row number of ears, row number of grains per ear, and so on. Objective: In o...