Object Detection Using Deep Learning
S. Vimala1,Vibu Krishnan S.2, Mathan Raj Kumar3, Ashok Kumar 4, M. Janakiraman 5
1 Associate Professor, Panimalar Engineering College, India
2,,3,4,5U.G Student, Panimalar Engineering College, India
Emails: vimalakumaran@gmail.com; vibuselvam1234@gmail.com; mathanrajk146@gmail.com; ashokm2602@gmail.com; janakiraman1619@gmail.com
Abstract
Object recognition is an important task in computer vision that involves identifying the objects such as digital images or videos. This research paper provides a comprehensive review of the different techniques and applications of object recognition. The paper first discusses the basic concepts of object recognition, including feature extraction and matching, classification, and detection. Next, the paper reviews the different techniques for object recognition, such as template matching, PCA-based recognition, and deep learning-based recognition. The paper then presents an overview of the different applications of object recognition, including image and video classification, object tracking, face recognition, and autonomous driving. Finally, the paper ends with a discussion of the difficulties and likely new paths for object recognition.
Keywords: Deep learning; Object detection; Neural Network.