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Internet of Things With Object Detection: Challenges, Applications, and Solutions

Internet of Things With Object Detection: Challenges, Applications, and Solutions

Lavanya Sharma, Nirvikar Lohan
Copyright: © 2019 |Pages: 12
ISBN13: 9781522574323|ISBN10: 1522574328|EISBN13: 9781522574330
DOI: 10.4018/978-1-5225-7432-3.ch006
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MLA

Sharma, Lavanya, and Nirvikar Lohan. "Internet of Things With Object Detection: Challenges, Applications, and Solutions." Handbook of Research on Big Data and the IoT, edited by Gurjit Kaur and Pradeep Tomar, IGI Global, 2019, pp. 89-100. https://doi.org/10.4018/978-1-5225-7432-3.ch006

APA

Sharma, L. & Lohan, N. (2019). Internet of Things With Object Detection: Challenges, Applications, and Solutions. In G. Kaur & P. Tomar (Eds.), Handbook of Research on Big Data and the IoT (pp. 89-100). IGI Global. https://doi.org/10.4018/978-1-5225-7432-3.ch006

Chicago

Sharma, Lavanya, and Nirvikar Lohan. "Internet of Things With Object Detection: Challenges, Applications, and Solutions." In Handbook of Research on Big Data and the IoT, edited by Gurjit Kaur and Pradeep Tomar, 89-100. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7432-3.ch006

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Abstract

In recent years, everyday objects and locating of people become an active area in IoT-based visual surveillance system. Internet of things (IoT) is basically transferring data with numerous other things. In visual surveillance systems, conventional methods are very easily susceptible to the environmental changes (i.e., illumination changing, slow motion in the background due to waving tree leaves, rippling of water, and variation in lightening condition). This chapter describes the current challenging issues present in literature along with major application areas, resources and dataset, tools and advantages of IoT-based visual surveillance systems.

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