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Vision Meets Drones: A Challenge [article]

Pengfei Zhu, Longyin Wen, Xiao Bian, Haibin Ling, Qinghua Hu
2018 arXiv   pre-print
In particular, we design four popular tasks with the benchmark, including object detection in images, object detection in videos, single object tracking, and multi-object tracking.  ...  In this paper we present a large-scale visual object detection and tracking benchmark, named VisDrone2018, aiming at advancing visual understanding tasks on the drone platform.  ...  In recent years, numerous datasets have been developed for single object tracking evaluation. Wu et al.  ... 
arXiv:1804.07437v2 fatcat:ai4czdtqg5bwrp6xxykdr62yi4

Object Based Video Analysis, Interpretation and Tracking

A. Umamakeswa, A. Rajaraman
2007 Journal of Computer Science  
The paper presents the details of object based video analysis for conventional engineering applications.  ...  This has become more predominant with the prolific developments in communication and internet.  ...  ABORT, A PLATFORM FOR VIDEO IMAGES With the background provided for both object recognition and image tracking in video sequences a platform, ABORT-Attribute Based Object Recognition and Tracking-was developed  ... 
doi:10.3844/jcssp.2007.818.822 fatcat:x53zty3u5jdy3lhza7ukgry4fm

A Survey of Video Object Tracking

Meng Li, Zemin Cai, Chuliang Wei, Ye Yuan
2015 International Journal of Control and Automation  
Due to the numerous important applications of video surveillance and monitoring, video object tracking has been an active research topic in the last decade.  ...  This paper makes a survey of approaches to high quality object tracking by looking at theoretical backgrounds and practical results, which are categorized into four groups.  ...  Acknowledgements This research was supported by the National Science Foundation of China (under Grant 61203249), Foundation for Distinguished Young Talents in Higher Education of Guangdong, China(Grant  ... 
doi:10.14257/ijca.2015.8.9.29 fatcat:mgwx335fvjekbg2cwndrfnxvue

Improved scale-invariant feature transform feature-matching technique-based object tracking in video sequences via a neural network and Kinect sensor

Kajal Sharma, Inkyu Moon
2013 Journal of Electronic Imaging (JEI)  
Object tracking is considered to be a key technique in many computer vision applications, such as video surveillance, object recognition, and robotics.  ...  We propose a method that improves the performance of scale-invariant feature transform (SIFT)-based object tracking algorithm to track the object in the subsequent video frames.  ...  Conclusion In this article, we have addressed a neural network-based object tracking algorithm to detect the selected object across a video sequence in the context of developing real-time vision-based  ... 
doi:10.1117/1.jei.22.3.033017 fatcat:slyusrkgc5gapfmjjp6leqkbbu

The Research on Object Detection and Tracking in Video Sequence

2017 DEStech Transactions on Computer Science and Engineering  
This paper investigates object detection and tracking in a video sequence. The detection and tracking technologies have been extensively applied in numerous domains.  ...  in video sequence.  ...  Tracking detected objects frame by frame in video is a significant and difficult task.  ... 
doi:10.12783/dtcse/cib2015/16160 fatcat:beplkf3hxrfujjlntflwoof224

Novel Adaptive Background Segmentation Algorithm for Multiple Object Tracking

V Ramalakshmi @ Kanthimathi, M Germanus Alex
2018 International Journal of Engineering & Technology  
Multiple object tracking plays a vital role in many applications. The objective of this paper is to track multiple objects in all the scenes of the video sequence.  ...  In this paper, an algorithm is proposed to identify objects between scenes by dividing the scenes in the video sequence.  ...  Instead of tracking the object in the full video, the object is tracked within each scene using correlation filter.  ... 
doi:10.14419/ijet.v7i3.27.17984 fatcat:2olhmopyfjdmdms3tvgyfowtoe


2014 International Journal of Computer Science and Informatics  
In this paper, we propose a new approach for human action recognition from video. Here we use the HMM algorithm for recognition of activity from video.  ...  This result can be useful in future development as an automatic human machine interaction.  ...  It is currently used to detect moving objects in video acquired from static cameras. Numerous statistical methods have been developed over the recent years.  ... 
doi:10.47893/ijcsi.2014.1147 fatcat:6x7eus2n2ran5dbonq5razblbi

A Survey on Moving Object Detection and Tracking Based On Background Subtraction

Rahul Dutt Sharma, Subham Kumar Gupta
2018 The Oxford Journal of Intelligent Decision and Data Science  
Detecting Moving object is a task to identify the motion of objects in a specific region/area.  ...  The main aim of this paper is to review recent developments and to analyze the open direction in visual surveillance systems for near future.  ...  In this paper, we have presented an overview of recent developments in human motion analysis.  ... 
doi:10.5899/2018/ojids-00041 fatcat:wzutws7flrbmlitik5ot4benhi

Key-point Sequence Lossless Compression for Intelligent Video Analysis

Weiyao Lin, Xiaoyi He, Wenrui Dai, John See, Tushar Shinde, Hongkai Xiong, Ling-Yu Duan
2020 IEEE Multimedia  
In this article, we present a lossless key-point sequence compression approach for efficient feature coding.  ...  Feature coding has been recently considered to facilitate intelligent video analysis for urban computing.  ...  Tracking ID. Each object is assigned with a tracking ID when it first appears in the video sequence.  ... 
doi:10.1109/mmul.2020.2990863 fatcat:aeiqha7clfd7pepywiejylaxyu

Camera motion-constraint video codec selection

Andreas Krutz, Sebastian Knorr, Matthias Kunter, Thomas Sikora
2008 2008 IEEE 10th Workshop on Multimedia Signal Processing  
In recent years advanced video codecs have been developed, such as standardized in MPEG-4.  ...  Towards a general-purpose object-based video coding system we present an automated approach to separate a video sequences into subsequences regarding its camera motion type.  ...  The work presented was developed within VISNET2, a European Network of Excellence (, funded under the European Commission IST FP6 programme. We would like to thank Dr.  ... 
doi:10.1109/mmsp.2008.4665049 dblp:conf/mmsp/KrutzKKS08 fatcat:go5guesujzasbk7gwhyypfoome

Transparent Object Tracking Benchmark [article]

Heng Fan, Halady Akhilesha Miththanthaya, Harshit, Siranjiv Ramana Rajan, Xiaoqiong Liu, Zhilin Zou, Yuewei Lin, Haibin Ling
2021 arXiv   pre-print
Visual tracking has achieved considerable progress in recent years.  ...  In this paper, we make the first attempt in exploring this problem by proposing a Transparent Object Tracking Benchmark (TOTB).  ...  This work is supported in part by NSF Grant IIS-2006665 and IIS-1814745.  ... 
arXiv:2011.10875v2 fatcat:6zpreiliyrgsbk5nfzwejkk5rm

Enhancement of low quality degraded video using haar wavelet decomposition technique

Prajakta Sunil Gupta, Gadicha V.B
2017 International Journal of Recent Scientific Research  
Object detection involves locating objects in the frame of a video sequence.  ...  Scope Many algorithms and technology have been developed to automate monitoring the object in a video file. Object detection and tracking is a one of the challenging task in computer vision.  ... 
doi:10.24327/ijrsr.2017.0803.0084 fatcat:qioyi5tqjveirle2zw2egvmu5e

Advanced Video-Based Surveillance

Luigi Di Stefano, Carlo Regazzoni, Dan Schonfeld
2011 EURASIP Journal on Image and Video Processing  
Quast and A. Kaup, "Auto GMM-SAMT: an automatic object tracking system for video surveillance in traffic scenarios"), which describes a shape adaptive mean-shift tracker relying  ...  As a result, advanced video-based surveillance systems have been developed by research groups from academia and industry alike.  ...  Finally, we wish to convey our deep gratitude to the Editor-in-Chief of the EURASIP Journal on Image and Video Processing, Professor Jean-Luc Dugelay, for his encouragement and support of this special  ... 
doi:10.1155/2011/857084 fatcat:p4zl3mspw5h6njvy6sduu6fuya

Object Detection and Object Tracking Using Background Subtraction for Surveillance Application

2014 International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering  
The purpose is to detect the movement of object from the background image in video sequence and for the object tracking.  ...  Aoptimization threshold method is used to obtain behaviour of moving object and tracking. Motion of a moving object and tracking in a video stream is studied and detected.  ...  III.OBJECT TRACKING BASED ON COLOURED OBJECT Object tracking means identifying & following same object in sequences of video frames.  ... 
doi:10.15662/ijareeie.2014.0307029 fatcat:swrt4beo4bbmznptfkxxu4pmze

DVS Benchmark Datasets for Object Tracking, Action Recognition, and Object Recognition

Yuhuang Hu, Hongjie Liu, Michael Pfeiffer, Tobi Delbruck
2016 Frontiers in Neuroscience  
Benchmarks have played a vital role in the advancement of visual object recognition and other fields of computer vision (LeCun et al., 1998; Deng et al., 2009; ).  ...  In particular, the availability of such benchmarks should help the development of algorithms processing event-based vision input, allowing a direct fair comparison of different approaches.  ...  Tracking Dataset DVS Recordings The TrackingDataset has 77 single-object tracking sequences (examples in Figure 2A second row). The average number of frames per sequence is 605.  ... 
doi:10.3389/fnins.2016.00405 pmid:27630540 pmcid:PMC5006598 fatcat:jq2al6tmjjagtj633id7twtvqm
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