Changes between Version 19 and Version 20 of Hardware/Cameras


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Timestamp:
Nov 1, 2022, 4:06:39 AM (18 months ago)
Author:
gilz
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  • Hardware/Cameras

    v19 v20  
    22== Cameras
    33
    4 Video cameras are particularly useful for collecting data in smart cities. They facilitate detection and tracking of vehicles, pedestrians and other objects by feeding videos into AI-enabled cloud compute servers. COSMOS nodes in New York City are equipped with cameras to facilitate research on a variety of smart city applications. COSMOS pilot site contains four permanently installed cameras which are recording scenes at the intersection of 120th Street and Amsterdam Avenue.
     4Video cameras are particularly useful for collecting data in smart cities. They facilitate detection and tracking of vehicles, pedestrians and other objects by feeding videos into AI-enabled cloud compute servers. COSMOS nodes in New York City are equipped with cameras to facilitate research on a variety of smart city applications. The COSMOS site at the intersection of 120th Street and Amsterdam Avenue contains four permanently installed cameras .
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    6 Installation and management of cameras at the COSMOS pilot site, and processing of collected data, has been supported by a number of students at Columbia University who worked in the lab of Professor Kostic.
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    8 '''''Contributors''': Zhengye Yang, Alex Angus, Mahshid Ghasemi Dehkordi, Emily Bailey, Zhuoxu Duan, Jeswanth Yadagani, Vedaant Dave, Dwiref Oza, Zihao Xiong, Hongzhe Ye, Richard Samoilenko, Mingfei Sun, Shiyun Yang, Tianyao Hua.''
     6Installation and management of cameras at the COSMOS pilot site, and processing of collected data, has been supported by a number of students at Columbia University who worked in Prof. Kostic's lab: Zhengye Yang, Alex Angus, Emily Bailey, Zhuoxu Duan, Jeswanth Yadagani, Vedaant Dave, Dwiref Oza, Zihao Xiong, Hongzhe Ye, Richard Samoilenko, Mingfei Sun, Shiyun Yang, Tianyao Hua as well as by Mahshid Ghasemi Dehkordi from Prof. Zussman's group.
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    3230=== Anonymization Workflow for 1st and 2nd-floor Cameras
    3331
    34 12-th floor cameras capture images of cars and pedestrians such that neither faces nor license plates can be recognized - therefore there is no need for post-processing for privacy protection.
     32The annonymization workflow is described in the following paper. We would appreciate it if you cite this paper when publishing results obtained using the datasets above.
     33
     34A. Angus, Z. Duan, G. Zussman, and Z. Kostic, “Real-Time Video Anonymization in Smart City Intersections,” in Proc. IEEE MASS’22 (invited), Oct. 2022. [https://wimnet.ee.columbia.edu/wp-content/uploads/2022/08/RealTimeVideoAnonymization_MASS2022.pdf (download)][https://www.cosmos-lab.org/wp-content/uploads/2022/10/video_blurring_Mass2022.pdf (presentation)]
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     36Below, we briefly described the workflow.
     37
     38The 12-th floor cameras capture images of cars and pedestrians such that neither faces nor license plates can be recognized. Therefore there is no need for post-processing for privacy protection.
    3539
    3640Videos from the 1st and 2nd floor, saved in this directory, are the outputs of the COSMOS YOLOv4 blurring pipeline.
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    50543. Blurred frames are written to the output video file.
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    52 The YOLOv4 blurring model is trained in Darknet on the Mudd 1st floor video
    53 dataset annotated in Summer 2021. Deep learning models for detection and tracking have been converted from Darknet to Nvidia TensorRT for
    54 integration into the current implementation of the blurring pipeline.
     56The YOLOv4 blurring model is trained in Darknet on the Mudd 1st floor video dataset annotated in Summer 2021. Deep learning models for detection and tracking have been converted from Darknet to Nvidia TensorRT for integration into the current implementation of the blurring pipeline.
    5557
    56 === Reference Papers and DOI
    57 The following papers describe the COSMOS project vision and key technologies relevant to the use of video cameras. We would appreciate it if you cite these papers when publishing results obtained using the datasets above.
     58=== Additional Papers
     59The following papers describe the COSMOS project vision and key technologies relevant to the use of video cameras.
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    5961D. Raychaudhuri, I. Seskar, G. Zussman, T. Korakis, D. Kilper, T. Chen, J. Kolodziejski, M. Sherman, Z. Kostic, X. Gu, H. Krishnaswamy, S. Maheshwari, P. Skrimponis, and C. Gutterman, “Challenge: COSMOS: A city-scale programmable testbed for experimentation with advanced wireless,” in Proc. ACM MOBICOM’20, 2020." ​[https://wimnet.ee.columbia.edu/wp-content/uploads/2020/02/MobiCom2020_COSMOS.pdf (Download)] https://doi.org/10.1145/3372224.3380891
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