Yuanyuan Shang

ORCID: 0000-0001-9991-0124
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About
Contact & Profiles
Research Areas
  • Video Surveillance and Tracking Methods
  • Distributed Sensor Networks and Detection Algorithms
  • Higher Education and Teaching Methods
  • Target Tracking and Data Fusion in Sensor Networks
  • Advanced Vision and Imaging
  • Indoor and Outdoor Localization Technologies
  • Image and Video Stabilization
  • Computational Physics and Python Applications
  • Advanced Image and Video Retrieval Techniques
  • Face and Expression Recognition
  • Gait Recognition and Analysis
  • Education and Vocational Training
  • Image Enhancement Techniques
  • Face recognition and analysis
  • Numerical Methods and Algorithms
  • Digital Filter Design and Implementation
  • Advanced Image Fusion Techniques
  • Fault Detection and Control Systems
  • Infrared Target Detection Methodologies
  • Human Pose and Action Recognition
  • Educational Technology and Pedagogy
  • UAV Applications and Optimization

Linyi University
2024

Tianjin University
2023

Tianjin haihe hospital
2023

Capital Normal University
2013-2017

Beijing Advanced Sciences and Innovation Center
2016-2017

Embedded Systems (United States)
2014

Beijing University of Technology
2011

Kinship verification from facial images is an interesting and challenging problem in computer vision, there are very limited attempts on tackle this the literature. In paper, we propose a new neighborhood repulsed metric learning (NRML) method for kinship verification. Motivated by fact that interclass samples (without relation) with higher similarity usually lie more easily misclassified than those lower similarity, aim to learn distance under which intraclass (with pulled as close possible...

10.1109/tpami.2013.134 article EN IEEE Transactions on Pattern Analysis and Machine Intelligence 2013-07-17

Multi-drone multi-target tracking aims at collabo- ratively detecting and targets across multiple drones associating the identities of objects from different drones, which can overcome shortcomings single-drone object tracking. To address critical challenges identity association target occlusion in multi-drone tasks, we collect an occlusion-aware dataset named MDMT. It contains 88 video sequences with 39,678 frames, including 11,454 IDs persons, bicycles, cars. The MDMT comprises 2,204,620...

10.1109/tmm.2023.3234822 article EN IEEE Transactions on Multimedia 2023-01-01

In digital signal and image processing, it’s very common to calculate the value of certain transcendental functions, such as natural logarithmic function. This study introduces basic principles mode calculation hyperbolic systems by using CORDIC algorithm, then analyses Field-Programmable Gate Array (FPGA) core processing unit in detail. The biggest advantage algorithm is that its circuit structure simple, only adder shifter. It suitable for FPGA implementation. Based on iterative a...

10.19026/rjaset.6.4045 article EN cc-by Research Journal of Applied Sciences Engineering and Technology 2013-06-05

It was the panoramic technology that extensively used in scopes of Video Compression, Virtual Reality, Pathology Medical Science, Teleconference System and so on. Panoramic mosaic perspective, taking both full view images a sight view, is critical figure merit for system. This paper introduces design camera, which special circumstances required with ambulant ability. The camera achieves perspective by analyzing optical structure using multiple image sensors. A algorithm to rapidly locate...

10.4304/jcp.6.7.1378-1385 article EN Journal of Computers 2011-07-01

Abstract Whether it is the development trend of education in whole world or quality that being comprehensively promoted China, more and attention paid to students’ leading position entire process, respect for differences, importance personality development. This paper uses a distributed cloud computing platform construct clustering algorithm based on K-means-CE categorize language learner characteristics combined with Felder-Silverman style model. Then, ItemCF collaborative filtering...

10.2478/amns-2024-2733 article EN cc-by Applied Mathematics and Nonlinear Sciences 2024-01-01

This paper is devoted to the problem of state estimate discrete-time stochastic systems.A low-complexity and high accuracy algorithm presented reduce computational load traditional interacting multiple model with heterogeneous observations for location tracking.By decoupling x y dimensions simplify implementation location, updated information iteratively passed based on an adaptive fusion decision.Simulations show that more computationally attractive than existing methods.

10.2991/jrnal.2015.2.3.8 article EN Journal of Robotics Networking and Artificial Life 2015-01-01
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