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Keypoint-based object tracking and localization using networks of low-power embedded smart cameras [article]

Ibrahim Abdelkader, Yasser El-Sonbaty, Mohamed El-Habrouk
2017 arXiv   pre-print
Object tracking and localization is a complex task that typically requires processing power beyond the capabilities of low-power embedded cameras.  ...  This paper presents a new approach to real-time object tracking and localization using multi-view binary keypoints descriptor.  ...  (Ercan et al, 2007) proposed a camera network to track a single object in the presence of static and moving occluders. Camera locations are assumed to be fixed.  ... 
arXiv:1712.01635v1 fatcat:hn6bqquxtzfudgh6x63pio2j24

SensEye

Purushottam Kulkarni, Deepak Ganesan, Prashant Shenoy, Qifeng Lu
2005 Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05  
We present the design and implementation of SensEye-a multi-tier network of heterogeneous wireless nodes and cameras.  ...  An experimental evaluation of our prototype shows that, when compared to a single-tier prototype, our multi-tier SensEye can achieve an order of magnitude reduction in energy usage while providing comparable  ...  Acknowledgments: We would like to thank Deepak Karuppiah, for the numerous useful discussions on the computer vision related aspects of this work.  ... 
doi:10.1145/1101149.1101191 dblp:conf/mm/KulkarniGSL05 fatcat:ddkbj6cisjhvjcwndnjs5xpq7q

The case for multi--tier camera sensor networks

Purushottam Kulkarni, Deepak Ganesan, Prashant Shenoy
2005 Proceedings of the international workshop on Network and operating systems support for digital audio and video - NOSSDAV '05  
In this position paper, we examine recent technology trends that have resulted in a broad spectrum of camera sensors, wireless radio technologies, and embedded sensor platforms with varying capabilities  ...  We discuss several of these challenges and illustrate how they can be addressed in the context of SensEye, a multi-tier video surveillance application that we are designing in our research group.  ...  Camera sensor networks-a wireless network of sensor nodes equipped with cameras-are useful in a variety of applications such as surveillance, intruder detection, live virtual environments, and online virtual  ... 
doi:10.1145/1065983.1066016 dblp:conf/nossdav/KulkarniGS05 fatcat:t6ly6rgf6vbc7kbqbjvdp2taxm

Simultaneous Multi-View Instance Detection With Learned Geometric Soft-Constraints

Ahmed Nassar, Sebastien Lefevre, Jan Dirk Wegner
2019 2019 IEEE/CVF International Conference on Computer Vision (ICCV)  
What makes multi-view object instance detection difficult are strong changes in viewpoint, lighting conditions, high similarity of neighbouring objects, and strong variability in scale.  ...  We propose to jointly learn multi-view geometry and warping between views of the same object instances for robust cross-view object detection.  ...  information from multi-modal imagery and crowdsourcing".  ... 
doi:10.1109/iccv.2019.00666 dblp:conf/iccv/NassarLW19 fatcat:lq6lj6wsqzbrnemn6mllazegve

Viewpoint Invariant Person Re-Identification for Global Multi-Object Tracking with Non-Overlapping Cameras

2017 KSII Transactions on Internet and Information Systems  
We applied the proposed method to real-time global multi-object tracking across multiple disjoint cameras with non-overlapping field of views.  ...  In addition, we demonstrated the effectiveness of the proposed approach for the inter-camera multiple object tracking on the MCT dataset with ground truth data for local tracking.  ...  The performance of global multi-object tracking is evaluated in two cases. Novelty detection is to recognize an object appearing in the camera network for the first time.  ... 
doi:10.3837/tiis.2017.04.014 fatcat:lpv5hgchmfajxd6d27w3gbwpyq

Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System

Lionel Heng, Benjamin Choi, Zhaopeng Cui, Marcel Geppert, Sixing Hu, Benson Kuan, Peidong Liu, Rang Nguyen, Ye Chuan Yeo, Andreas Geiger, Gim Hee Lee, Marc Pollefeys (+1 others)
2019 2019 International Conference on Robotics and Automation (ICRA)  
The sensor suite employs many cameras for both 360-degree coverage and accurate multi-view stereo; the use of low-cost cameras keeps the cost of this sensor suite to a minimum.  ...  Emphasis is placed on leveraging multi-view geometry and deep learning to enable the vehicle to localize and perceive in 3D space.  ...  Dynamic Object Detection Dynamic objects leave behind trails of artefacts in the 3D map. We leverage 2D object detection to solve this problem.  ... 
doi:10.1109/icra.2019.8793949 dblp:conf/icra/HengCCGHKLNYGLP19 fatcat:d7wcoms3drawhkd7klpu2sivlq

Multistage Deep Neural Network Framework for People Detection and Localization Using Fusion of Visible and Thermal Images [chapter]

Bushra Khalid, Muhammad Usman Akram, Asad Mansoor Khan
2020 Lecture Notes in Computer Science  
In Computer vision object detection and classification are active fields of research.  ...  Mask-RCNN uses Resnet-101 architecture for localization of objects.  ...  Object Detection and Localization Object detection is the center of attention in computer vision and it is one of the basic building blocks.  ... 
doi:10.1007/978-3-030-51935-3_15 fatcat:424qzugqergcfhvwdvc3tpzdlq

INFORMATION ACQUISITION ON PEDESTRIAN MOVEMENTS IN URBAN TRAFFIC WITH A MOBILE MULTI-SENSOR SYSTEM

B. Borgmann, M. Hebel, M. Arens, U. Stilla
2021 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This paper presents an approach which combines LiDAR sensors and cameras of a mobile multi-sensor system to obtain information about pedestrians in the vicinity of the sensor platform.  ...  The approach combines several state-of-the-art machine learning techniques: it uses a neural network and a subsequent voting process to detect pedestrians in LiDAR sensor data.  ...  If this is the case, the network also estimates where the center of the object is located in relation to the local point neighborhood.  ... 
doi:10.5194/isprs-archives-xliii-b2-2021-131-2021 fatcat:cf2yhqcdtngktgf6cfqopqkksi

On the design and implementation of a high definition multi-view intelligent video surveillance system

S. Zhang, S. C. Chan, R. D. Qiu, K. T. Ng, Y. S. Hung, W. Lu
2012 2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2012)  
It adopts a modular design where multiple intelligent Internet Protocol (IP)-based video surveillance cameras are connected to a local video server.  ...  This paper proposes a distributed architecture for high definition (HD) multi-view video surveillance system.  ...  II) Brightness calibration of neighboring cameras, and III) Consistent labeling across cameras when a new object is detected in one or more views.  ... 
doi:10.1109/icspcc.2012.6335739 fatcat:cdv7brkkarg45dmdln64ql7zsu

Adaptive Diffusion-Based Track Assisted Multi-Object Labeling In Distributed Camera Networks

Michael Muma, Freweyni Teklehaymanot, Abdelhak Zoubir
2018 Zenodo  
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017  ...  Nodes in a distributed camera network can be interested in, e.g., image enhancement, object detection, pose analysis, and object tracking.  ...  In future work, we will extend our multi-object multi-camera labeling framework by automatically estimating the number of objects in the scene of interest.  ... 
doi:10.5281/zenodo.1159589 fatcat:2unreqvqezgjropdi6u2mgfimu

GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end [article]

Ahmed Samy Nassar, Stefano D'Aronco, Sébastien Lefèvre, Jan D. Wegner
2020 arXiv   pre-print
Our method relies on a Graph Neural Network (GNN) to, detect all objects and output their geographic positions given images and approximate camera poses as input.  ...  in detection and re-ID average precision as well as 8x reduction of training time.  ...  Here, we propose to solve the problem of multi-view detection and re-identification of static objects in urban scenes using Graph Neural Networks.  ... 
arXiv:2003.10151v2 fatcat:neleyzbkpfhylbrusf76el5yry

Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges [article]

Di Feng, Christian Haase-Schuetz, Lars Rosenbaum, Heinz Hertlein, Claudius Glaeser, Fabian Timm, Werner Wiesbeck, Klaus Dietmayer
2020 arXiv   pre-print
This review paper attempts to systematically summarize methodologies and discuss challenges for deep multi-modal object detection and semantic segmentation in autonomous driving.  ...  To this end, we first provide an overview of on-board sensors on test vehicles, open datasets, and background information for object detection and semantic segmentation in autonomous driving research.  ...  III provides an overview of multi-modal datasets in autonomous driving. C. Deep Object Detection Object detection is the task of recognizing and localizing multiple objects in a scene.  ... 
arXiv:1902.07830v4 fatcat:or6enjxktnamdmh2yekejjr4re

Multi Target Tracking Access with Data Association in Distributed Camera Networks

2019 International journal of recent technology and engineering  
Data Association in Distributed Camera Network is a new method to analyse the large volume of video information in camera networking. It is an important step in multi camera multi target tracking.  ...  have addresses the problem of Distributed Data Association(DDA) to obtain the feet position of the object.  ...  In camera networks, multi target tracking has an additional challenge of inter camera data association.  ... 
doi:10.35940/ijrte.b1063.0982s1119 fatcat:zelc3v5smnaltoydsigwg2cixe

Multiple view discriminative appearance modeling with IMCMC for distributed tracking

Santhoshkumar Sunderrajan, B.S. Manjunath
2013 2013 Seventh International Conference on Distributed Smart Cameras (ICDSC)  
For each object, a set of two particle filters i.e., local and global is used. The local particle filter models the object motion in the image plane.  ...  The proposed algorithm is validated with extensive experimentation in challenging camera network data, and compares favorably with state of the art object trackers.  ...  DISTRIBUTED MULTI-OBJECT TRACKING IN A CAMERA NETWORK For a camera network with M synchronized cameras, the primary task is to jointly track objects with active collaboration between the views.  ... 
doi:10.1109/icdsc.2013.6778203 dblp:conf/icdsc/SunderrajanM13 fatcat:bdudvrjc6jhovkqo7fiyztnf4m

Literature Survey on Multi-Camera System and Its Application

Adeshina Sirajdin Olagoke, Haidi Ibrahim, Soo Siang Teoh
2020 IEEE Access  
The application of multi-camera started around 1985 where the majority of its usage was in the area of object detection and recognition.  ...  faced in comprehending images created in a multi-camera system network.  ... 
doi:10.1109/access.2020.3024568 fatcat:j4lupf5ftzflbhvubbv7ppvdh4
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