{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T19:20:58Z","timestamp":1743103258861,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031689079"},{"type":"electronic","value":"9783031689086"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-68908-6_38","type":"book-chapter","created":{"date-parts":[[2024,9,28]],"date-time":"2024-09-28T06:01:58Z","timestamp":1727503318000},"page":"479-486","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Flood Rescue Using Multi-object Motion Tracking"],"prefix":"10.1007","author":[{"given":"B.","family":"Kamala","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Priyadharshini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K. S. Mahanaga","family":"Pooja","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,29]]},"reference":[{"key":"38_CR1","doi-asserted-by":"crossref","unstructured":"Naphade, M., et al.:  IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops. The 4th ai city challenge (2020)","DOI":"10.1109\/CVPRW50498.2020.00321"},{"key":"38_CR2","unstructured":"He, Y., et al.: International Conference on Enterprise Information Systems (ICEIS). Multi-object tracking for urban and multilane traffic: Building blocks for real-world application (2021)"},{"key":"38_CR3","unstructured":"Bumanis, N., Vitols, G., Arhipova, I., Solmanis, E.: Multi- Object Tracking in deep learning approaches: A survey. MDPI journal (2021)"},{"key":"38_CR4","unstructured":"Tiwari, M., .  Singhai, R.: A Review of Detection and Tracking of Object from Image and Video Sequences. Int. J. Computational Intelligence Res. (2017)"},{"key":"38_CR5","doi-asserted-by":"crossref","unstructured":"Rangesh, A., Trivedi, M.M.: Full Surround Multi-Object Tracking for Autonomous Vehicles Using Cameras and LiDARs. IEEE Transactions on Intelligent Vehicles 4(4), 588\u2013599 (2019)","DOI":"10.1109\/TIV.2019.2938110"},{"key":"38_CR6","doi-asserted-by":"crossref","unstructured":"Kamate, S., Yilmazer, N.: Application of Object Detection and Tracking Techniques for Unmanned Aerial Vehicles, Missouri University of Science and Technology (2015)","DOI":"10.1016\/j.procs.2015.09.183"},{"key":"38_CR7","doi-asserted-by":"crossref","unstructured":"Karasulu, B., Korukoglu, S.: Performance Evaluation Software: Moving Object Detection and Tracking in Videos. Springer Science & Business Media (2013)","DOI":"10.1007\/978-1-4614-6534-8"},{"key":"38_CR8","doi-asserted-by":"crossref","unstructured":"Zhao, Z.-Q., Zheng, P., Xu, S.-T., Wu, X.: Object detection with deep learning: a review. IEEE Trans. Neural Networks Learn (2019)","DOI":"10.1109\/TNNLS.2018.2876865"},{"key":"38_CR9","doi-asserted-by":"crossref","unstructured":"Iqbal, R., Maniak, T., Doctor, F., Karyotis, C.: Fault detection and isolation in industrial processes using deep learning approaches. IEEE Trans. Ind. Informatics (2019)","DOI":"10.1109\/TII.2019.2902274"},{"key":"38_CR10","doi-asserted-by":"crossref","unstructured":"Sidhu, R.S., Sharad, M.: Smart surveillance system for detecting interpersonal crime. Int. Conf. Commun. Signal Process. IEEE. (2016)","DOI":"10.1109\/ICCSP.2016.7754524"},{"key":"38_CR11","doi-asserted-by":"crossref","unstructured":"Bochinski, E., Eiselein, V., Sikora, T.: High-Speed tracking-by-detection without using image information. 14th IEEE Int. Conf. Adv. Video Signal-Based Surveill. IEEE (2017)","DOI":"10.1109\/AVSS.2017.8078516"},{"key":"38_CR12","doi-asserted-by":"crossref","unstructured":"Chandan, G., Jain, A., Jain, H., Mohana: Real-time object detection and tracking using deep learning and OpenCV. Int. Conf. Inven. Res. Comput. Appl. IEEE (2018)","DOI":"10.1109\/ICIRCA.2018.8597266"},{"key":"38_CR13","doi-asserted-by":"crossref","unstructured":"Wojke, N., Bewley, A., Paulus, D.: Simple online and real-time tracking with a deep association metric. Nt. Conf. Image Process. IEEE. (2017)","DOI":"10.1109\/ICIP.2017.8296962"},{"key":"38_CR14","unstructured":"Abdulghafoor, N.H., Abdullah, H.N.: Enhancement performance of multiple objects detection and tracking for real-time and online applications. Int. J. Intell. Eng. Syst. (2020)"},{"key":"38_CR15","doi-asserted-by":"crossref","unstructured":"Abdulghafoor, N.H., Abdullah, H.N.: Real-time object detection with simultaneous denoising using low-rank and total variation models. Int. Congr. Human- Computer Interact. Optim. Robot. Appl. IEEE. (2020)","DOI":"10.1109\/HORA49412.2020.9152863"}],"container-title":["Communications in Computer and Information Science","Deep Sciences for Computing and Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-68908-6_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T18:06:16Z","timestamp":1734372376000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-68908-6_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031689079","9783031689086"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-68908-6_38","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"29 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IconDeepCom","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Deep Sciences for Computing and Communications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chennai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icondeepcom2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.srmist.edu.in\/events\/icondeepcom\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}