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Robust and efficient post-processing for video object detection [article]

Alberto Sabater, Luis Montesano, Ana C. Murillo
2020 arXiv   pre-print
This work introduces a novel post-processing pipeline that overcomes some of the limitations of previous post-processing methods by introducing a learning-based similarity evaluation between detections  ...  Object recognition in video is an important task for plenty of applications, including autonomous driving perception, surveillance tasks, wearable devices or IoT networks.  ...  CONCLUSIONS In this work, we present a novel post-processing method for video object detection.  ... 
arXiv:2009.11050v1 fatcat:phfojhzfdza3tfxj4xwatt4vou

Static object detection and segmentation in videos based on dual foregrounds difference with noise filtering [article]

Waqqas-ur-Rehman Butt, Martin Servin
2020 arXiv   pre-print
This paper presents static object detection and segmentation method in videos from cluttered scenes.  ...  Robust static object detection is still challenging task due to presence of moving objects in many surveillance applications.  ...  The authors are thankful to Boliden AB for providing data and to Daniel Lindmark at Umeå University for assistance with producing the synthetic data.  ... 
arXiv:2012.10708v1 fatcat:jpxe6pjwunb5tdeprfo6jr2qza

Robust Multi Object Tracking Removing Shadow Using Fore Ground Detection

T.P.V.D. Santoshi, N. Srikanth
2016 International Journal Of Scientific Research And Education  
This is mostly useful in real time applications, such as video surveillance, for experimental a traffic video under surveillance was considered and results for this video is also observed.  ...  This helps in object fragmenting or grouping. For this purpose foreground extraction and back ground subtraction were followed by blob area identification.  ...  POST-PROCESSING Post-processing improves the candidate foreground mask based on information obtained from the above section i.e. moving object detection.  ... 
doi:10.18535/ijsre/v4i04.01 fatcat:kd2uddjg7jfadhnskho5pms73m

An Optimized Framework for Detection and Tracking of Video Objects in Challenging Backgrounds

Sukanyathara J, Alphonsa Kuriakose
2014 The International Journal of Multimedia & Its Applications  
Many barriers such as cluttered background, camera movements, and occlusion make the robust detection and tracking a difficult problem, especially in case of multiple moving objects.  ...  This paper propose a framework which can effectively detect the moving objects and track them despite of occlusion and a priori knowledge of objects in the scene.  ...  Video object segmentation, detection and tracking processes are the basic, starting steps for more complex processes, such as video context analysis and multimedia indexing.  ... 
doi:10.5121/ijma.2014.6403 fatcat:qnhdtdjejzbkfb7ndvebjr7doa

Image Background Subtraction for Webcam

Dattatray Waghole, Kulkarni Varsha, Dhumal Sachin, Dorale Pradnya
2015 International Journal of Engineering Research and  
Image processing is form of signal processing for which the input and output as an image.  ...  This experiments show simple method of this background subtraction technique using a Web camera and final results are obtained after this which simply detects the moving objects.  ...  Evaluation of background subtraction algorithms with post processing[3] BGS algorithm For achieving robust foreground segmentation masks.  ... 
doi:10.17577/ijertv4is030891 fatcat:yyq4oardinfd7ezzj67okmubiu

Robust background subtraction in HSV color space

Ming Zhao, Jiajun Bu, Chun Chen, Andrew G. Tescher, Bhaskaran Vasudev, V. Michael Bove, Jr., Ajay Divakaran
2002 Multimedia Systems and Applications V  
In the new MPEG-4 video coding standard, aut omatic video object segmentation plays a key role in supporting object-oriented coding and enabling content -based functionalities.  ...  The HSV color model is used and its color components are efficiently analyzed and treated separately so that the proposed algorithm can adapt to different environmental illumination conditions.  ...  from the background model to get the video objects. (3) Post processing is used to acquire the accurate objects.  ... 
doi:10.1117/12.456333 fatcat:dp6o7jd3vvhw3moykx6ycak5re

Evaluation of Background Subtraction Algorithms with Post-Processing

Donovan H. Parks, Sidney S. Fels
2008 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance  
Processing a video stream to segment foreground objects from the background is a critical first step in many computer vision applications.  ...  In this paper, we evaluate several popular, state-of-the-art BGS algorithms and examine how post-processing techniques affect their performance.  ...  Acknowledgments This work was supported by a grant from the Natural Sciences and Engineering Research Council of Canada.  ... 
doi:10.1109/avss.2008.19 dblp:conf/avss/ParksF08 fatcat:it7jk3zgrbgdnlptlll6msq4ru

A Review on Video Tracking for Multiple Objects in Neural Network [chapter]

Uma S, Umamaheswari S
2020 Advances in Parallel Computing  
Video Multiple Object Detection and Tracking (VMODT) is the current area of research in computer vision which has increased due to the attention of commercial and academic potential it has offered.  ...  Multiple Object Tracking (MOT) shares all challenges to be handled such that long time occluded, fully occluded in small object, frequent occlusion in crowd and severely blurred in fast motion in video  ...  The current observation together with past frame which is inferred for prediction in next frame in the real time video. The post processing is required to detect the multiple object.  ... 
doi:10.3233/apc200175 fatcat:5tq2oynoobafxm7rvjzsycfo4q

Fast object re-detection and localization in video for spatio-temporal fragment creation

Evlampios Apostolidis, Vasileios Mezaris, Ioannis Kompatsiaris
2013 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)  
This paper presents a method for the detection and localization of instances of user-specified objects within a video or a collection of videos.  ...  efficiency of the process.  ...  Algorithm 3 Object re-detection with efficient sampling of video frames and robustness to scale variations.  ... 
doi:10.1109/icmew.2013.6618349 dblp:conf/icmcs/ApostolidisMK13 fatcat:eyauudchw5drjfjvaqgyb6qkuy

Fast and robust object-extraction framework for object-based streaming system

Ashraf M.A. Ahmad, Suh Yin Lee
2008 International Journal of Virtual Technology and Multimedia  
To utilise the bandwidth efficiently, the video objects can be detected in real time, encoded, and transmitted with higher quality and a higher frame rate than those in the background.  ...  Video streaming poses significant technical challenges in the quality of service guarantee and efficient resource management.  ...  Ahmad Ma for his proofreading of this work.  ... 
doi:10.1504/ijvtm.2008.017109 fatcat:kfbk6dcwojch5ipky3h73vf774

Real time moving object detection for video surveillance based on improved GMM

Shikha Mangal, Ashavani Kumar
2016 International Journal of Advanced Technology and Engineering Exploration  
This system is robust to false detections which arise from small camera displacements. e) Traditional mixture of Gaussian with improvements: Reliable and efficient moving object detection is characterized  ...  Our approach is suitable to any of real time video surveillance system for clear and fast detection of moving objects in any video frame sequence.  ... 
doi:10.19101/ijatee.2017.426004 fatcat:gqbnrx7vgvdlvgzvqscy7j4saq

Comparative Analysis on Feature Descriptor Algorithms to Aid Video Stabilization and Smooth Boundary Reconstruction using In-painting and Interpolation

Mitali J., Neha Parmar, Maheshwari Nilesh
2016 International Journal of Computer Applications  
This paper presents a fast and efficient video stabilization method based on the Speeded-up robust features (SURF).  ...  But the boundary region of stabilized frames requires a lot more attention as they are said to be black and some sort of filtering and inpainted work needs to be performed for better results and reconstruction  ...  , and to reduce the time for feature-based object detection on standard PCs.  ... 
doi:10.5120/ijca2016909289 fatcat:uhgventusbgqnjhwpd7b66dfzm

Sequence Level Semantics Aggregation for Video Object Detection [article]

Haiping Wu, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang
2019 arXiv   pre-print
In this work, we argue that aggregating features in the full-sequence level will lead to more discriminative and robust features for video object detection.  ...  Video objection detection (VID) has been a rising research direction in recent years. A central issue of VID is the appearance degradation of video frames caused by fast motion.  ...  Video-level post-processing techniques. One advantage of our method is that it does not rely on post-processing methods (e.g Seq-NMS) to incorporate whole-video level information.  ... 
arXiv:1907.06390v2 fatcat:3hns3j6xvfcdrnmfavzydjufre

Regions Based Semi-fragile Watermarking Scheme

Amal Hammami, Amal Ben Hamida, Chokri Ben Amar, Henri Nicolas
2020 Journal of WSCG  
For the embedding process, Regions of Interest (ROI) are detected and then used as watermark holders.  ...  A blind detection is conducted to extract the hidden signature from the watermarked video.  ...  ACKNOWLEDGEMENTS The research leading to these results received funding from the Tunisian Ministry of Higher Education and Scientific Research under the grant agreement number LR11ES48.  ... 
doi:10.24132/jwscg.2020.28.12 fatcat:h2huzqpnsbfm5k27h6ugp4yuwi

Smart Surveillance System Real-Time Multi-Person Multi-Camera Tracking at the Edge

Shruti Khule, Supriya Jaybhay, Pranjal Metkari, Prof. Balasaheb Balkhande
2022 International Journal for Research in Applied Science and Engineering Technology  
The proposed framework is both privacy-aware and scalable supporting a processing pipeline on the edge consisting of person detection, tracking and robust person re-identification.  ...  A distributed camera system is required for this application. The proposed AI system detects people in the monitored area using a MobileNet-SSD architecture.  ...  Balasaheb Balkhande for their able guidance and support in completing the research.  ... 
doi:10.22214/ijraset.2022.40954 fatcat:prusm2kqmnbx5nlbharqh7vrem
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