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A novel robotic visual perception framework for underwater operation Research Article

Yue LU, Xingyu CHEN, Zhengxing WU, Junzhi YU, Li WEN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1602-1619 doi: 10.1631/FITEE.2100366

Abstract: ., object detection and tracking), but underwater scenes have poor visual quality and represent a specialbeneficial to detection in real sea scenarios by reducing the domain shift.Moreover, non-reference assessments are proposed for detection continuity and stability based on objectSmall-overlap suppression is proposed to extend (VID) methods to a single-object tracking task, leadingto the flexibility to switch between detection and tracking.

Keywords： Underwater operation     Robotic perception     Visual restoration     Video object detection    

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Shot classification and replay detection for sports video summarization Research Article

Ali JAVED, Amen ALI KHAN,ali.javed@uettaxila.edu.pk

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 5,   Pages 790-800 doi: 10.1631/FITEE.2000414

Abstract: Accurate is mandatory to better structure the input video for further processing, i.e., key events orFor this purpose, we propose local octa-pattern features to represent video frames and train the for

Keywords： machine     Lightweight convolutional neural network     Local octa-patterns     Shot classification     Replay detection     Video summarization    

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Robust object tracking with RGBD-based sparse learning Article

Zi-ang MA, Zhi-yu XIANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 989-1001 doi: 10.1631/FITEE.1601338

Abstract: Robust object tracking has been an important and challenging research area in the field of computer visionFinally, a depth-based occlusion detection method is proposed to efficiently determine an accurate time

Keywords： Object tracking     Sparse learning     Depth view     Occlusion templates     Occlusion detection    

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Underwater object detection by fusing features from different representations of sonar data Research Article

Fei WANG, Wanyu LI, Miao LIU, Jingchun ZHOU, Weishi ZHANG,feiwang@dlmu.edu.cn,zhoujingchun@dlmu.edu.cn,teesiv@dlmu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 828-843 doi: 10.1631/FITEE.2200429

Abstract: Three strategies are presented to investigate the impact of on different components of the detectionExperimental results show that our method benefits both the region proposal and the object classification

Keywords： Underwater object detection     Sonar data representation     Feature fusion    

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A deep Q-learning network based active object detection model with a novel training algorithm for service Research Article

Shaopeng LIU, Guohui TIAN, Yongcheng CUI, Xuyang SHAO

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1673-1683 doi: 10.1631/FITEE.2200109

Abstract: important for to complete tasks in the family environment, and leads robots to approach the target object

Keywords： Active object detection     Deep Q-learning network     Training method     Service robots    

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High-Temperature Target Recognition Based on Spectral Radiation Information

Fan Xueliang,Cheng Xiaofang,Xu Jun

Strategic Study of CAE 2004, Volume 6, Issue 6,   Pages 57-62

Abstract: using liquid crystal light valve to make a simple modification of the imaging system, the goal of high object

Keywords： video image     object recognition     radiation information     liquid crystal light valve    

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Lobectomy by video-assisted thoracoscopic surgery (VATS) for early stage of non-small cell lung cancer

Min ZHU, Xiang-Ning FU, Xiao-Ping CHEN

Frontiers of Medicine 2011, Volume 5, Issue 1,   Pages 53-60 doi: 10.1007/s11684-011-0121-2

Abstract:

Video-assisted thoracoscopic surgery (VATS) provides a new approach for treating early-stage lung

Keywords： non-small cell lung cancer     video-assisted thoracoscopic surgery     lobectomy    

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A robust object tracking framework based on a reliable point assignment algorithm Article

Rong-feng ZHANG, Ting DENG, Gui-hong WANG, Jing-lun SHI, Quan-sheng GUAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 545-558 doi: 10.1631/FITEE.1601464

Abstract: However, there are still challenges in visual tracking, such as illumination change, object occlusionMoreover, a Kalman filter is applied to the detection step to speed up the detection processing and reducefalse detection.Finally, the proposed RPA is integrated into the tracking-learning-detection (TLD) framework with the

Keywords： Local maximal wavelet coefficients     Reliable point assignment     Object tracking     Tracking learning detection    

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A reversibility-gain model for integer Karhunen-Loève transform design in video coding

Xing-guo ZHU,Lu YU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 883-891 doi: 10.1631/FITEE.1500071

Abstract: In this paper, a joint reversibility-gain (R-G) model is proposed for integer-KLT design in video coding‘gain’ means transform coding gain (TCG), which is a widely used criterion for transform design in video

Keywords： Integer transform     Karhunen-Loè     ve transform (KLT)     Integer-KLT     Transform coding     Video coding    

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Image analyses for video-based remote structure vibration monitoring system

Yang YANG,Xiong (Bill) YU

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 1,   Pages 12-21 doi: 10.1007/s11709-016-0313-6

Abstract: Video-based vibration measurement is a cost-effective way for remote monitoring the health conditionsBesides, video-based system is global measurement.The technical basis of video-based remote vibration measurement system is digital image analysis.further refinement of system hardware and image processing software, it will be developed into a remote video

Keywords： structure health monitoring     velocity estimation     frame difference     PIV     optical-flow method    

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Scheme and Techniques for Hierarchical Oranization of Video

Zhang Yujin,Lu Haibin

Strategic Study of CAE 2000, Volume 2, Issue 3,   Pages 18-22

Abstract: Traditional video representation is just a time sequence——video stream, thus it is difficultfor computer to recognize or perceive video in the content level.To efficiently access and utilize video information, a suitable organization of video data is criticalThis paper proposes a video organization scheme, which arranges video into four layers： video programfor non-linear browsing and content-based retrieval of video data.

Keywords： video     organization     browsing     shot     episode     key frame     representative frame    

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A Video Scan Format Conversation Algorithm Based onSpatio-temporal Weight and Edge Direction

Ding Yong,Lu Shengli,Shi Longxing

Strategic Study of CAE 2007, Volume 9, Issue 10,   Pages 49-54

Abstract:  It consists of motion detection,  low-angle edge detection,  and spatio-temporal weight

Keywords： scan format conversation     motion estimation     edge detection     spatio-temporal adaptive interpolation    

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Unsupervised object detection with scene-adaptive concept learning Research Articles

Shiliang Pu, Wei Zhao, Weijie Chen, Shicai Yang, Di Xie, Yunhe Pan,xiedi@hikvision.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 5,   Pages 615-766 doi: 10.1631/FITEE.2000567

Abstract: Object detection is one of the hottest research directions in computer vision, has already made impressiveHowever, the mainstream detection methods still have two shortcomings: (1) even a model that is wellWe first extract a large number of object proposals from unlabeled data through a pre-trained detectioncenter represents an object prototype.Third, we look into the relations between different clusters and the object information of different

Keywords： 视觉知识；无监督视频目标检测；场景自适应学习    

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Creating technical heritage object replicas in a virtual environment

Olga EGOROVA,Dmitry SHCHERBININ

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 1,   Pages 108-115 doi: 10.1007/s11465-016-0363-4

Abstract:

The paper presents innovative informatics methods for creating virtual technical heritage replicas, which are of significant scientific and practical importance not only to researchers but to the public in general. By performing 3D modeling and animation of aircrafts, spaceships, architectural-engineering buildings, and other technical objects, the process of learning is achieved while promoting the preservation of the replicas for future generations. Modern approaches based on the wide usage of computer technologies attract a greater number of young people to explore the history of science and technology and renew their interest in the field of mechanical engineering.

Keywords： 3D document     history of science and technology     technical knowledge     popularization     virtual environment     replica     mechanism and machine science (MMS)    

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A modified YOLOv4 detection method for a vision-based underwater garbage cleaning robot Research Article

Manjun TIAN, Xiali LI, Shihan KONG, Licheng WU, Junzhi YU,tianmanjun2018@163.com,xiaer_li@163.com,kongshihan@pku.edu.cn,wulicheng@tsinghua.edu.cn,junzhi.yu@ia.ac.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1217-1228 doi: 10.1631/FITEE.2100473

Abstract: We propose a garbage detection method based on a , allowing high-speed and high-precision .With the purpose of further improvement on the detection accuracy, YOLOv4 is transformed into a four-scaledetection method.To improve the detection speed, model pruning is applied to the new model.By virtue of the improved detection methods, the robot can collect garbage autonomously.

Keywords： Object detection     Aquatic environment     Garbage cleaning robot     Modified YOLOv4    

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Title Author Date Type Operation

A novel robotic visual perception framework for underwater operation

Yue LU, Xingyu CHEN, Zhengxing WU, Junzhi YU, Li WEN

Journal Article

Shot classification and replay detection for sports video summarization

Ali JAVED, Amen ALI KHAN,ali.javed@uettaxila.edu.pk

Journal Article

Robust object tracking with RGBD-based sparse learning

Zi-ang MA, Zhi-yu XIANG

Journal Article

Underwater object detection by fusing features from different representations of sonar data

Fei WANG, Wanyu LI, Miao LIU, Jingchun ZHOU, Weishi ZHANG,feiwang@dlmu.edu.cn,zhoujingchun@dlmu.edu.cn,teesiv@dlmu.edu.cn

Journal Article

A deep Q-learning network based active object detection model with a novel training algorithm for service

Shaopeng LIU, Guohui TIAN, Yongcheng CUI, Xuyang SHAO

Journal Article

High-Temperature Target Recognition Based on Spectral Radiation Information

Fan Xueliang,Cheng Xiaofang,Xu Jun

Journal Article

Lobectomy by video-assisted thoracoscopic surgery (VATS) for early stage of non-small cell lung cancer

Min ZHU, Xiang-Ning FU, Xiao-Ping CHEN

Journal Article

A robust object tracking framework based on a reliable point assignment algorithm

Rong-feng ZHANG, Ting DENG, Gui-hong WANG, Jing-lun SHI, Quan-sheng GUAN

Journal Article

A reversibility-gain model for integer Karhunen-Loève transform design in video coding

Xing-guo ZHU,Lu YU

Journal Article

Image analyses for video-based remote structure vibration monitoring system

Yang YANG,Xiong (Bill) YU

Journal Article

Scheme and Techniques for Hierarchical Oranization of Video

Zhang Yujin,Lu Haibin

Journal Article

A Video Scan Format Conversation Algorithm Based onSpatio-temporal Weight and Edge Direction

Ding Yong,Lu Shengli,Shi Longxing

Journal Article

Unsupervised object detection with scene-adaptive concept learning

Shiliang Pu, Wei Zhao, Weijie Chen, Shicai Yang, Di Xie, Yunhe Pan,xiedi@hikvision.com

Journal Article

Creating technical heritage object replicas in a virtual environment

Olga EGOROVA,Dmitry SHCHERBININ

Journal Article

A modified YOLOv4 detection method for a vision-based underwater garbage cleaning robot

Manjun TIAN, Xiali LI, Shihan KONG, Licheng WU, Junzhi YU,tianmanjun2018@163.com,xiaer_li@163.com,kongshihan@pku.edu.cn,wulicheng@tsinghua.edu.cn,junzhi.yu@ia.ac.cn

Journal Article