Document Type : Research Paper

Authors

• Asmaa Hasan Alrubaie ¹
• Maisa'a Abid Ali Khodher ²
• Ahmed Talib Abdulameer

¹ Al-Esraa University Collage

² Department of Computer Science, University of Technology, Iraq

Abstract

Target detection, one of the key functions of computer vision, has grown in importance as a study area over the past two decades and is currently often employed. In a certain video, it seeks to rapidly and precisely detect and locate a huge amount of the objects according to redetermined categories. The two forms of deep learning (DL) algorithms that are used in the model training algorithm are single-stage and 2-stage algorithms of detection. The representative algorithms for every level have been thoroughly discussed in this work. The analysis and comparison of numerous representative algorithms in this subject is after that explained. Last but not least, potential obstacles to target detection are anticipated.

Keywords

• Object detection
• Deep learning
• Regions of interest (ROI)
• Convolutional Neural Networks )CNNs)

Main Subjects

• Computer