Filters








6,419 Hits in 6.7 sec

City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones [article]

Chong Liu and Yuqi Zhang and Hao Luo and Jiasheng Tang and Weihua Chen and Xianzhe Xu and Fan Wang and Hao Li and Yi-Dong Shen
2021 arXiv   pre-print
The framework includes: (1) Use mature detection and vehicle re-identification models to extract targets and appearance features. (2) Use modified JDETracker (without detection module) to track single-camera  ...  vehicles and generate single-camera tracklets. (3) According to the characteristics of the crossroad, the Tracklet Filter Strategy and the Direction Based Temporal Mask are proposed. (4) Propose Sub-clustering  ...  Offline multi-tracking builds a graph based on visual and spatial-temporal similarities and then optimize the graph for the solution.  ... 
arXiv:2105.06623v1 fatcat:oztx6twmvngqrir64eqjccmnca

PVSS: A Progressive Vehicle Search System for Video Surveillance Networks [article]

Xinchen Liu, Wu Liu, Huadong Ma, Shuangqun Li
2019 arXiv   pre-print
Then multi-grained attributes, such as the visual features and license plate fingerprints, are extracted and indexed by the vehicle indexer.  ...  Besides, attribute-based search cannot accurately find the same vehicle due to intra-instance changes in different cameras and the extremely uncertain environment.  ...  The point sequence of the vehicle track. Visual Features float[] The multi-grained visual features extracted from the vehicle track. Duration float The time duration of the vehicle track.  ... 
arXiv:1901.03062v1 fatcat:ivcgneylcfbg7d5eqyfpoozhpu

CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification

Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
In addition, a subset of the benchmark is made available for the task of image-based vehicle re-identification (ReID).  ...  We conducted an extensive experimental evaluation of baselines/state-of-the-art approaches in MTMC tracking, multi-target single-camera (MTSC) tracking, object detection, and image-based ReID on this dataset  ...  as multi-target singlecamera (MTSC) tracking; 2) Re-identification of targets across multiple cameras, known as ReID; and 3) Detection and tracking of targets across a network of cameras, known as multi-target  ... 
doi:10.1109/cvpr.2019.00900 dblp:conf/cvpr/TangN0YBWKAH19 fatcat:w32nnafuajee5hfcopvtlob5ly

CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification [article]

Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang
2019 arXiv   pre-print
In addition, a subset of the benchmark is made available for the task of image-based vehicle re-identification (ReID).  ...  We conducted an extensive experimental evaluation of baselines/state-of-the-art approaches in MTMC tracking, multi-target single-camera (MTSC) tracking, object detection, and image-based ReID on this dataset  ...  as multi-target singlecamera (MTSC) tracking; 2) Re-identification of targets across multiple cameras, known as ReID; and 3) Detection and tracking of targets across a network of cameras, known as multi-target  ... 
arXiv:1903.09254v4 fatcat:7pq2nvk4s5bwnm2keg2jlgxtqy

Vehicle Re-ID for Surround-view Camera System [article]

Zizhang Wu, Man Wang, Lingxiao Yin, Weiwei Sun, Jason Wang, Huangbin Wu
2020 arXiv   pre-print
Besides, we take advantage of the Re-ID network based on attention mechanism, then combined with a spatial constraint strategy to further boost the performance between different cameras.  ...  The vehicle re-identification (ReID) plays a critical role in the perception system of autonomous driving, which attracts more and more attention in recent years.  ...  [17] created a dataset named VeRi-776, which employs visual features, license plate and spatial-temporal information to explore the Re-ID task of vehicles.  ... 
arXiv:2006.16503v1 fatcat:vorzzvjtjbfxbmeoaf4kxpplwm

Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals [article]

Yantao Shen, Tong Xiao, Hongsheng Li, Shuai Yi, Xiaogang Wang
2017 arXiv   pre-print
However, unlike person re-identification, the visual differences between pairs of vehicle images are usually subtle and even challenging for humans to distinguish.  ...  Vehicle re-identification is an important problem and has many applications in video surveillance and intelligent transportation.  ...  [12] proposed an approach that matches signatures based on interest-points descriptors collected on short video sequences for person re-identification scheme in multi-camera surveillance systems.  ... 
arXiv:1708.03918v1 fatcat:3rfxnsfcezamzbgnio2z5y74pq

Intelligent multi-camera video surveillance: A review

Xiaogang Wang
2013 Pattern Recognition Letters  
The covered topics include multi-camera calibration, computing the topology of camera networks, multi-camera tracking, object re-identification, multi-camera activity analysis and cooperative video surveillance  ...  both with active and static cameras.  ...  Most published results on camera calibration, inference of topology, object re-identification, tracking and activity analysis are based on small camera networks.  ... 
doi:10.1016/j.patrec.2012.07.005 fatcat:vnbxmu55x5ditdmhjvsmloezr4

Discriminative Feature Representation with Spatio-temporal Cues for Vehicle Re-identification [article]

J. Tu, C. Chen, X. Huang, J. He, X. Guan
2020 arXiv   pre-print
Vehicle re-identification (re-ID) aims to discover and match the target vehicles from a gallery image set taken by different cameras on a wide range of road networks.  ...  Based on this multi-modal information, the proposed DFR-ST constructs an appearance model for a multi-grained visual representation by a two-stream architecture and a spatio-temporal metric to provide  ...  Hence, researchers have embraced deep features into vehicle re-ID to construct a more efficient feature representation based on two strategies: 1) visual representation and 2) multi-modal representation  ... 
arXiv:2011.06852v1 fatcat:iqlq53dbxbb6je66a47nsvzgha

Vehicle Detection and Tracking From Surveillance Cameras in Urban Scenes [article]

Oumayma Messoussi, Felipe Gohring de Magalhaes, Francois Lamarre, Francis Perreault, Ibrahima Sogoba, Guillaume-Alexandre Bilodeau, Gabriela Nicolescu
2021 arXiv   pre-print
Our MOT method extends an Intersection-over-Union (IOU)-based tracker with vehicle re-identification features.  ...  We propose a multi-vehicle detection and tracking system following the tracking-by-detection paradigm that tackles the previously mentioned challenges.  ...  Conclusion Our work adopts the popular tracking-by-detection paradigm to propose an MOT method that combines spatial information with re-identification features to track vehicles in urban scenes in online  ... 
arXiv:2109.12414v1 fatcat:iynjfrcdwjafnnebbf2lngghjm

Efficient and Deep Vehicle Re-Identification Using Multi-Level Feature Extraction

Zakria, Jingye Cai, Jianhua Deng, Muhammad Aftab, Muhammad Khokhar, Rajesh Kumar
2019 Applied Sciences  
The intelligent transportation system is currently an active research area, and vehicle re-identification (Re-Id) is a fundamental task to implement it.  ...  It determines whether the given vehicle image obtained from one camera has already appeared over a camera network or not.  ...  Acknowledgments: We are thankful to anonymous editor and reviewers for their valuable comments and kind suggestions in early versions of this article.  ... 
doi:10.3390/app9071291 fatcat:uepcmmyxl5cl3hk4c7cpgpb2mm

A Survey of Vehicle Re-identification Based on Deep Learning

Hongbo Wang, Jiaying Hou, Na Chen
2019 IEEE Access  
There are mainly five types of deep learning-based methods designed for vehicle re-identification, i.e. methods based on local features, methods based on representation learning, methods based on metric  ...  Third, we further discuss the challenges and possible research directions of vehicle re-identification in the future based on our survey.  ...  As a result, vehicle re-identification methods based on deep learning become a research hot spot in recent years. 1) VEHICLE RE-IDENTIFICATION METHODS BASED ON LOCAL FEATURES Due to deep learning and  ... 
doi:10.1109/access.2019.2956172 fatcat:gxzry6py4bhrjnb2qxqtu4r27u

Re-Identification in Urban Scenarios: A Review of Tools and Methods

Hugo S. Oliveira, José J. M. Machado, João Manuel R. S. Tavares
2021 Applied Sciences  
With the widespread use of surveillance image cameras and enhanced awareness of public security, objects, and persons Re-Identification (ReID), the task of recognizing objects in non-overlapping camera  ...  With the aim of identifying the most promising methods for ReID for future robust implementations, a review study is presented, mainly focusing on the person and multi-object ReID and auxiliary methods  ...  Example of the multi-object tracking and segmentation system (MOTS). Figure 10 . 10 Figure 10. Deep learning-based vehicle re-identification methods.  ... 
doi:10.3390/app112210809 fatcat:7eruemifjfaw5bi3dfnpuc6ttm

A Fast Non-Overlapping Multi-Camera People Re-Identification Algorithm and Tracking Based on Visual Channel Model

Chi-Chia SUN, Ming-Hwa SHEU, Jui-Yang CHI, Yan-Kai HUANG
2019 IEICE transactions on information and systems  
In this paper, a nonoverlapping multi-camera and people re-identification algorithm is proposed. It applies inflated major color features for re-identification to reduce computation time.  ...  The results show a performance improvement and reduction in computation complexity, which is especially ideal for embedded platform. key words: multi-camera, people re-identification, visual channel model  ...  [15] proposed using spatial-temporal descriptors to re-identify pedestrians. Its features include HOG3D and the gait energy image.  ... 
doi:10.1587/transinf.2018edp7348 fatcat:slwv57jmazf2rai2wwdeco4doi

2019 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 29

2019 IEEE transactions on circuits and systems for video technology (Print)  
., +, TCSVT Jan. 2019 275-280 Video Person Re-Identification for Wide Area Tracking Based on Recurrent Neural Networks.  ...  ., +, TCSVT March 2019 714-729 An Adaptive Multi-Projection Metric Learning for Person Re-Identification Across Non-Overlapping Cameras.  ... 
doi:10.1109/tcsvt.2019.2959179 fatcat:2bdmsygnonfjnmnvmb72c63tja

UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery [article]

Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon, Hubert P. H. Shum
2021 arXiv   pre-print
Recent development in deep learning allows vision-based counter-UAV systems to detect and track UAVs with a single camera.  ...  However, the coverage of a single camera is limited, necessitating the need for multicamera configurations to match UAVs across cameras - a problem known as re-identification (reID).  ...  ACKNOWLEDGEMENTS This work is funded in part by the Future Aviation Security Solutions (FASS) programme, a joint initiative between DfT and the Home Office (Ref: 007CD).  ... 
arXiv:2104.06219v3 fatcat:4cspp44sybeyzcvqnucxvwqhsy
« Previous Showing results 1 — 15 out of 6,419 results