Abstract
This chapter continues the exploration of motion from the previous chapter with more sophisticated tracking methods. In the previous chapter, you compared and analyzed the whole image between frames to identify movement information. As a result, the motion details tracked from these methods are general, without making use of the specific structural elements in the image. In this chapter, you will first investigate how to locate the points of interest for detection. The common term for them is feature points. Then you will try to track how these feature points move between frames. The functions are mainly provided in the features2d module in OpenCV. In addition to the feature points, you will explore how to detect facial features and people using the objdetect module. The following are the topics covered in this chapter.
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© 2017 Bryan WC Chung
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Chung, B.W. (2017). Feature Detection and Matching. In: Pro Processing for Images and Computer Vision with OpenCV. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2775-6_7
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DOI: https://doi.org/10.1007/978-1-4842-2775-6_7
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-2774-9
Online ISBN: 978-1-4842-2775-6
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