Adaptive background modeling in multicamera system for real-time object detection

Massimo Camplani

doi:10.1117/1.3662422

Adaptive background modeling in multicamera system for real-time object detection

Optical Engineering ◽

10.1117/1.3662422 ◽

2011 ◽

Vol 50 (12) ◽

pp. 127206 ◽

Cited By ~ 7

Author(s):

Massimo Camplani

Keyword(s):

Object Detection ◽

Real Time ◽

Background Modeling

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GPU-based implementation of an optimized nonparametric background modeling for real-time moving object detection

IEEE Transactions on Consumer Electronics ◽

10.1109/tce.2013.6531118 ◽

2013 ◽

Vol 59 (2) ◽

pp. 361-369 ◽

Cited By ~ 22

Author(s):

Daniel Berjon ◽

Carlos Cuevas ◽

Francisco Moran ◽

Narciso Garcia

Keyword(s):

Object Detection ◽

Real Time ◽

Background Modeling ◽

Moving Object Detection ◽

Moving Object

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Real-Time Stopped Object Detection by Neural Dual Background Modeling

Euro-Par 2010 Parallel Processing Workshops - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21878-1_44 ◽

2011 ◽

pp. 357-364

Author(s):

Giorgio Gemignani ◽

Lucia Maddalena ◽

Alfredo Petrosino

Keyword(s):

Object Detection ◽

Real Time ◽

Background Modeling

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Real-Time Moving Object Detection based on Regional Background Modeling under a Moving Camera

Journal of Imaging Science and Technology ◽

10.2352/j.imagingsci.technol.2017.61.4.040506 ◽

2017 ◽

Vol 61 (4) ◽

pp. 405061-4050610

Author(s):

Junhua Yan ◽

Shunfei Wang ◽

Wei Huang ◽

Yongqi Xiao ◽

Yong Yang

Keyword(s):

Object Detection ◽

Real Time ◽

Background Modeling ◽

Moving Object Detection ◽

Moving Object ◽

Moving Camera ◽

Regional Background

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Improved background modeling for real-time spatio-temporal non-parametric moving object detection strategies

Image and Vision Computing ◽

10.1016/j.imavis.2013.06.003 ◽

2013 ◽

Vol 31 (9) ◽

pp. 616-630 ◽

Cited By ~ 20

Author(s):

Carlos Cuevas ◽

Narciso García

Keyword(s):

Object Detection ◽

Real Time ◽

Background Modeling ◽

Moving Object Detection ◽

Moving Object ◽

Spatio Temporal ◽

Detection Strategies ◽

Non Parametric

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Real-Time Object Detection and Localization for Vision-Based Robot Manipulator

SN Computer Science ◽

10.1007/s42979-021-00561-4 ◽

2021 ◽

Vol 2 (3) ◽

Author(s):

Varun Batra ◽

Vijay Kumar

Keyword(s):

Object Detection ◽

Real Time ◽

Robot Manipulator ◽

Detection And Localization

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Efficient final output feature map processing method supporting real-time object detection and recognition

2020 International SoC Design Conference (ISOCC) ◽

10.1109/isocc50952.2020.9333051 ◽

2020 ◽

Author(s):

Seong Bin Choi ◽

Sang-Seol Lee ◽

Jonghee Park ◽

Sung-Joon Jang ◽

Byung-Ho Choi

Keyword(s):

Object Detection ◽

Real Time ◽

Processing Method ◽

Feature Map ◽

Map Processing ◽

Final Output ◽

Detection And Recognition

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Real-Time Deep Learning-Based Object Detection Framework

2020 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci47803.2020.9308493 ◽

2020 ◽

Author(s):

William Tarimo ◽

Moustafa M.Sabra ◽

Shonan Hendre

Keyword(s):

Deep Learning ◽

Object Detection ◽

Real Time

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Chip and System Design of Real Time Object Detection Based on LS-R-YOLO Network

2020 IEEE 9th Global Conference on Consumer Electronics (GCCE) ◽

10.1109/gcce50665.2020.9291775 ◽

2020 ◽

Author(s):

Chun Ju Huang ◽

Ting-Wei Chen ◽

Yu-Cheng Fan

Keyword(s):

Object Detection ◽

System Design ◽

Real Time

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Multi-Thread Frame Tiling Model in Concurrent Real-Time Object Detection for Resources Optimization in YOLOv3

Proceedings of the 2020 6th International Conference on Computer and Technology Applications ◽

10.1145/3397125.3397139 ◽

2020 ◽

Cited By ~ 1

Author(s):

Sara Abri ◽

Rayan Abri ◽

Anıl Yarıcı ◽

Salih Çetin

Keyword(s):

Object Detection ◽

Real Time

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Research Towards Yolo-Series Algorithms: Comparison and Analysis of Object Detection Models for Real-Time UAV Applications

Journal of Physics Conference Series ◽

10.1088/1742-6596/1948/1/012021 ◽

2021 ◽

Vol 1948 (1) ◽

pp. 012021

Author(s):

Shuo Wang

Keyword(s):

Object Detection ◽

Real Time ◽

Comparison And Analysis

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