Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3531
Title: A Short Survey on Real-Time Object Detection and its Challenges
Authors: Sabat, Naba Krushna
Pati, Umesh Chandra
Das, Santos Kumar
Keywords: Deep learning
Object detection
Convolution Neuron Network
Sensor
IoT
Issue Date: Mar-2020
Citation: International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy (ETAEERE-2020), KIIT, Bhubaneswar, India, 5-6 March 2020
Abstract: Object detection is an attractive research interest in recent years. It plays an significant role to understand the image in video analysis. Object detection technique has improved in computer vision when deep learning method came to the picture. From the last two decades, several algorithms have been developed and improved to detect the object in different conditions and still, it has number of challenges. The objective of this paper is to provide a short survey on object detection and its challenges not only in computer vision but also in the wireless sensor network.
Description: Copyright of this paper is with proceedings publisher
URI: http://hdl.handle.net/2080/3531
Appears in Collections:Conference Papers

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