Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Relative Motion Analysis using Rotating Axes

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...

Distance Measurements by Taping

Distance Measurements by Taping

Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Atomically confined insertion for 2D strain and polarization engineered GaN electronics.

Nature communications·2026

Same author

Chitosan composite packaging film loaded with luteolin-superoxide dismutase nano-micelles: Enhancing food preservation performance.

Food research international (Ottawa, Ont.)·2026

Same author

Atractylenolide I Blocks Lung Metastasis of Triple-Negative Breast Cancer by Inhibiting SPP1-Mediated Extracellular Matrix Signaling Pathway.

Phytotherapy research : PTR·2026

Same author

Identification of Dopamine D2 Receptor as a Direct Target of Salidroside and Tyrosol by Integrated Transcriptomic and Biophysical Approaches.

Pharmaceuticals (Basel, Switzerland)·2026

Same author

PromptReg: Interactive Registration by "Corresponding Prompts" for Segment Anything Model (SAM).

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same author

Intra-arterial infusion of bevacizumab for the treatment of peritoneal metastatic high-grade renal cell carcinoma: a case report.

Frontiers in immunology·2026

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 15, 2026

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Published on: November 7, 2025

Real-Time Tracking Framework with Adaptive Features and Constrained Labels.

Daqun Li¹, Tingfa Xu^2,3, Shuoyang Chen⁴

¹School of Optoelectronics, Image Engineering & Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China. 2120140539@bit.edu.cn.

Sensors (Basel, Switzerland)

|September 13, 2016

Summary

This summary is machine-generated.

This study introduces an adaptive tracking framework (AFCL) that precisely locates objects despite challenging conditions like poor lighting and obstructions. The novel approach enhances tracking accuracy and reduces processing time for real-time applications.

Keywords:

Forward–Backward error embedded system ensemble classifier location constraint real-time tracking framework

More Related Videos

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

A Protocol for Real-time 3D Single Particle Tracking

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Related Experiment Videos

Last Updated: Mar 15, 2026

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Published on: November 7, 2025

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

A Protocol for Real-time 3D Single Particle Tracking

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Area of Science:

Computer Vision
Machine Learning
Robotics

Background:

Object tracking is crucial for various applications, but faces challenges like illumination variation, occlusion, and appearance changes.
Existing tracking methods often struggle to maintain accuracy under dynamic environmental conditions.

Purpose of the Study:

To propose a novel tracking framework with adaptive features and constrained labels (AFCL) for robust object tracking.
To enhance tracking accuracy and efficiency by addressing illumination variation, occlusion, and appearance changes.

Main Methods:

Developed a novel ensemble classifier incorporating Forward-Backward error for feature adaptation and accuracy.
Implemented a location constraint to mitigate label noise and improve bounding box precision.
Utilized a combiner to evaluate online templates and classifier outputs for complex scenarios.

Main Results:

The AFCL framework significantly improved tracking accuracy on standard benchmarks.
The proposed method demonstrated a reduction in processing time, enhancing efficiency.
Achieved satisfying results when implemented on embedded systems (TMS320C6416, Cyclone Ⅲ).

Conclusions:

The AFCL framework offers a robust solution for object tracking in challenging environments.
The integration of adaptive features and constrained labels leads to superior performance.
The framework's efficiency and accuracy make it suitable for real-time embedded applications.