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Is object detection easy?

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Proceedings Article•DOI Beyond straight lines — Object detection using curvature Antonio Monroy, Angela Eigenstetter, Björn Ommer - Show less +2 more 29 Dec 2011 19 Citations	The proposed approach is generic in that it can be easily integrated into state-of-the-art object detection systems.
Open access•Proceedings Article•DOI Small Object Detection using Context and Attention Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon, Seung-Ik Lee - Show less +3 more 13 Apr 2021 55 Citations	We propose an object detection method using context for improving accuracy of detecting small objects.
Journal Article•DOI A Cognitively Motivated Method for Classification of Occluded Traffic Signs Ya-Li Hou, Xiaoli Hao, Houjin Chen - Show less +2 more 01 Feb 2017-IEEE Transactions on Systems, Man, and Cybernetics 15 Citations	The developed method could also be easily used for any other object detection.
Proceedings Article•DOI Hypothesis testing framework for active object detection Nikolay Atanasov, Bharath Sankaran, Jerome Le Ny, Thomas Koletschka, George J. Pappas, Kostas Daniilidis - Show less +5 more 06 May 2013 35 Citations	The results suggest a significant improvement over static object detection.
Proceedings Article•DOI A new quality model for object detection using compressed videos Lingchao Kong, Rui Dai, Yuchi Zhang - Show less +2 more 19 Aug 2016 15 Citations	Experimental results show that the model can achieve high accuracy in predicting the performance of object detection.
Proceedings Article•DOI Real-time object detection using dynamic principal component analysis Gulay Buyukaksoy Kaplan, Oguz Icoglu, Ahmet Burak Yoldemir, Mehmet Sezgin - Show less +3 more 21 Jun 2010 12 Citations	With the observed results, it is validated that, the proposed method is employable towards the real-time object detection.

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What is object detection?5 answersObject detection is a computer vision technique that involves identifying and locating specific objects within images or videos. Unlike simple object classification, object detection not only determines if an object belongs to a particular class but also pinpoints its position within the scene by enclosing it in a bounding box. This process is crucial for various applications such as inventory management in retail, autonomous vehicle development, surveillance systems, and more. Object detection utilizes traditional methods like Viola-Jones, SIFT, and histogram of oriented gradients, as well as modern deep learning networks such as CNN, RCNN, YOLO, and others. These algorithms enable accurate object localization, high-speed processing, and efficient identification of objects and their instances in images or videos.

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