Detection, Recognition, and Tracking: A Survey

• URL: http://arxiv.org/abs/2203.11900v1
• Date: Tue, 22 Mar 2022 17:11:24 GMT
• Title: Detection, Recognition, and Tracking: A Survey
• Authors: Shiyao Chen and Dale Chen-Song
• Abstract summary: In Computer Vision and Multimedia, it is increasingly important to detect, recognize and track objects in images and/or videos. Many applications, such as facial recognition, surveillance, animation, are used for tracking features and/or people. This literature review focuses on some novel techniques on object detection and recognition, and how to apply tracking algorithms to the detected features to track the objects' movements.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: For humans, object detection, recognition, and tracking are innate. These provide the ability for human to perceive their environment and objects within their environment. This ability however doesn't translate well in computers. In Computer Vision and Multimedia, it is becoming increasingly more important to detect, recognize and track objects in images and/or videos. Many of these applications, such as facial recognition, surveillance, animation, are used for tracking features and/or people. However, these tasks prove challenging for computers to do effectively, as there is a significant amount of data to parse through. Therefore, many techniques and algorithms are needed and therefore researched to try to achieve human like perception. In this literature review, we focus on some novel techniques on object detection and recognition, and how to apply tracking algorithms to the detected features to track the objects' movements.

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