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A Novel Approach of Object Detection Using Point Feature Matching Technique for Colored Images

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Proceedings of ICRIC 2019

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 597))

Abstract

For computer vision, image matching is an essential trait which includes scene or object recognition. Detection using point feature method is much effective technique to detect a specific target instead of other objects or within clutter scene in an image. It is done by comparing correspondence points and analyzing between cluttered scene image and a target object in image. This paper presents novel SURF algorithm that is used for extracting, describing, and matching objects in colored images. The algorithm works on finding correspondence points between a target and reference images and detecting a particular object. Speeded-up robust features (SURF) algorithm is used in this study which can detect objects for unique feature matches and which has non-repeating patterns. This approach of detection can robustly find specified objects between colored cluttered images and provide constriction to other achieving near real-time performance.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication, Chandigarh Group of Colleges, Landran, Mohali, Punjab, India

    Manvinder Sharma & Sohni Singh

  2. Department of Electronics and Communication, Punjabi University, Patiala, India

    Harjinder Singh

  3. Department of Computer Science and Engineering, Chandigarh Group of Colleges, Landran, Mohali, Punjab, India

    Anuj Gupta

  4. Department of Applied Science, Chandigarh Group of Colleges, Landran, Mohali, Punjab, India

    Sumeet Goyal & Rahul Kakkar

Authors
  1. Manvinder Sharma
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  2. Harjinder Singh
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  3. Sohni Singh
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  4. Anuj Gupta
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  5. Sumeet Goyal
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  6. Rahul Kakkar
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Corresponding authors

Correspondence to Manvinder Sharma , Harjinder Singh , Sohni Singh , Anuj Gupta , Sumeet Goyal or Rahul Kakkar .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    Pradeep Kumar Singh

  2. Indian Institute of Technology Delhi, New Delhi, Delhi, India

    Arpan Kumar Kar

  3. Central University of Jammu, Jammu, Jammu and Kashmir, India

    Yashwant Singh

  4. Indian Institute of Technology Patna, Patna, Bihar, India

    Maheshkumar H. Kolekar

  5. Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Sudeep Tanwar

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Sharma, M., Singh, H., Singh, S., Gupta, A., Goyal, S., Kakkar, R. (2020). A Novel Approach of Object Detection Using Point Feature Matching Technique for Colored Images. In: Singh, P., Kar, A., Singh, Y., Kolekar, M., Tanwar, S. (eds) Proceedings of ICRIC 2019 . Lecture Notes in Electrical Engineering, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-030-29407-6_40

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  • DOI: https://doi.org/10.1007/978-3-030-29407-6_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29406-9

  • Online ISBN: 978-3-030-29407-6

  • eBook Packages: EngineeringEngineering (R0)

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