Table 1 The summary of previous reviews... | Emerald Publishing

Table 1

The summary of previous reviews on MOS.

No.	Year	Title	Category	Author	Venue
1	2014	Traditional and Recent Approaches in Background Modeling for Foreground Detection: An Overview [18]	Non-Deep Learning	Thierry Bouwmans	Compure Science Review
2	2014	A Comprehensive Review of Background Subtraction Algorithms Evaluated with Synthetic and Real Videos [180]	Non-Deep Learning	Andrews Sobrala, Antoine Vacavant	Computer Visoin Image Understanding
3	2015	Moving Object Detection: Review of Recent Research Trends [95]	Non-Deep Learning	Jaya S. Kulchandani, Kruti J. Dangarwala	International Conference on Pervasive Computing (ICPC)
4	2015	Review: Moving Object Detection Techniques [6]	Non-Deep Learning	Amandeep, Er. Monica Goyal	International Journal of Computer Science and Mobile Computing
5	2017	Review on Moving Object Detection in Video Surveillance [91]	Non-Deep Learning	Aqsa Khan, Nitin J. Janwe	International Journal of Advanced Research in Computer and Communication Engineering
6	2018	A Survey on Moving Object Detection and Tracking Based On Background Subtraction [174]	Non-Deep Learning	Rahul Sharma, Subham Gupta	The Oxford Journal of Intelligent Decision and Data Science
7	2018	New Trends on Moving Object Detection in Video Images Captured by a Moving Camera: A Survey [235]	Non-Deep Learning	Mehran Yazdi, Thierry Bouwmans	Computer Science Review
8	2019	A Review on Moving Object Detection and Tracking Methods in Video [220]	Non-Deep Learning	Sarika S. Wangulkar, Roshani Talmale, Rajesh Babu	International Journal of Scientific Research in Science, Engineering and Technology IJSRSET
9	2019	Moving Object Detection Under Sudden Change of Illumination: A Review [169]	Non-Deep Learning	Rajib Debnath, Mrinal Kanti Bhowmik	International Journal of Computational Intelligence & IoT
10	2019	Background Subtraction for Moving Object Detection in RGBD data: A Survey [124]	Non-Deep Learning	Lucia Maddalena, Alfredo Petrosino	Journal of Imaging
11	2019	A Comprehensive Survey of Video Datasets for Background Subtraction [89]	Non-Deep Learning	Rudrika Kalsotra, Sakshi Arora	IEEE Access
12	2019	Background Subtraction in Real Applications: Challenges, Current Models and Future Directions [59]	Non-Deep Learning	Belmar Garcia-Garcia, Thierry Bouwmans, Alberto JorgeRosales Silva	Computer Science Review
13	2019	Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation [19]	Deep Learning	Thierry Bouwmans, Sajid Javed, Maryam Sultana, Soon Ki Jung	Neural Networks
14	2020	Moving Objects Detection with a Moving Camera: A Comprehensive Review [27]	Deep Learning	Marie-Neige Chapel, Thierry Bouwmans	Computer Science Review
15	2020	Deep Learning Based Background Subtraction: A Systematic Survey [64]	Deep Learning	Jhony H. Giraldo, Huu Ton Le, Thierry Bouwmans	Handbook of Pattern Recognition and Computer Vision
16	2020	Video Object Segmentation and Tracking: A Survey [234]	Deep Learning	Rui Yao, Guosheng Lin, Shixiong Xia, Jiaqi Zhao, Yong Zhou	ACM Trans. Intell. Syst. Technol
17	2021	An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs [132]	Deep Learning	Murari Mandai, Santosh Kumar Vip parthi	IEEE Transactions on Intelligent Transportation Systems
18	2021	A Survey on Deep Learning Technique for Video Segmentation [213]	Deep Learning	Wenguan Wang, Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool	IEEE Transactions on Pattern Analysis and Machine Intelligence
19	Ours	A Survey of Efficient Deep Learning Models for Moving Object Segmentation	Deep Learning	-	-

No.	Year	Title	Category	Author	Venue
1	2014	Traditional and Recent Approaches in Background Modeling for Foreground Detection: An Overview [18]	Non-Deep Learning	Thierry Bouwmans	Compure Science Review
2	2014	A Comprehensive Review of Background Subtraction Algorithms Evaluated with Synthetic and Real Videos [180]	Non-Deep Learning	Andrews Sobrala, Antoine Vacavant	Computer Visoin Image Understanding
3	2015	Moving Object Detection: Review of Recent Research Trends [95]	Non-Deep Learning	Jaya S. Kulchandani, Kruti J. Dangarwala	International Conference on Pervasive Computing (ICPC)
4	2015	Review: Moving Object Detection Techniques [6]	Non-Deep Learning	Amandeep, Er. Monica Goyal	International Journal of Computer Science and Mobile Computing
5	2017	Review on Moving Object Detection in Video Surveillance [91]	Non-Deep Learning	Aqsa Khan, Nitin J. Janwe	International Journal of Advanced Research in Computer and Communication Engineering
6	2018	A Survey on Moving Object Detection and Tracking Based On Background Subtraction [174]	Non-Deep Learning	Rahul Sharma, Subham Gupta	The Oxford Journal of Intelligent Decision and Data Science
7	2018	New Trends on Moving Object Detection in Video Images Captured by a Moving Camera: A Survey [235]	Non-Deep Learning	Mehran Yazdi, Thierry Bouwmans	Computer Science Review
8	2019	A Review on Moving Object Detection and Tracking Methods in Video [220]	Non-Deep Learning	Sarika S. Wangulkar, Roshani Talmale, Rajesh Babu	International Journal of Scientific Research in Science, Engineering and Technology IJSRSET
9	2019	Moving Object Detection Under Sudden Change of Illumination: A Review [169]	Non-Deep Learning	Rajib Debnath, Mrinal Kanti Bhowmik	International Journal of Computational Intelligence & IoT
10	2019	Background Subtraction for Moving Object Detection in RGBD data: A Survey [124]	Non-Deep Learning	Lucia Maddalena, Alfredo Petrosino	Journal of Imaging
11	2019	A Comprehensive Survey of Video Datasets for Background Subtraction [89]	Non-Deep Learning	Rudrika Kalsotra, Sakshi Arora	IEEE Access
12	2019	Background Subtraction in Real Applications: Challenges, Current Models and Future Directions [59]	Non-Deep Learning	Belmar Garcia-Garcia, Thierry Bouwmans, Alberto JorgeRosales Silva	Computer Science Review
13	2019	Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation [19]	Deep Learning	Thierry Bouwmans, Sajid Javed, Maryam Sultana, Soon Ki Jung	Neural Networks
14	2020	Moving Objects Detection with a Moving Camera: A Comprehensive Review [27]	Deep Learning	Marie-Neige Chapel, Thierry Bouwmans	Computer Science Review
15	2020	Deep Learning Based Background Subtraction: A Systematic Survey [64]	Deep Learning	Jhony H. Giraldo, Huu Ton Le, Thierry Bouwmans	Handbook of Pattern Recognition and Computer Vision
16	2020	Video Object Segmentation and Tracking: A Survey [234]	Deep Learning	Rui Yao, Guosheng Lin, Shixiong Xia, Jiaqi Zhao, Yong Zhou	ACM Trans. Intell. Syst. Technol
17	2021	An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs [132]	Deep Learning	Murari Mandai, Santosh Kumar Vip parthi	IEEE Transactions on Intelligent Transportation Systems
18	2021	A Survey on Deep Learning Technique for Video Segmentation [213]	Deep Learning	Wenguan Wang, Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool	IEEE Transactions on Pattern Analysis and Machine Intelligence
19	Ours	A Survey of Efficient Deep Learning Models for Moving Object Segmentation	Deep Learning	-	-