Abstract
The paper reports effective real-time implementation for specific object detection in an image or sequence of images. For the present work, car key has been taken as an object under consideration. The classifier is developed using OpenCV-Python. The procedure encompasses training and detection. A wide variety of object images are used for training purpose. The developed xml classifier is then tested on separate test images. The classifier has a good success rate with minimal false object detection rate.
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Acknowledgments
Authors are thankful to Mr. Bhanprakash for his valuable help in collecting image samples.
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Paawan Sharma, Gupta, M.K., Mondal, A.K., Vivek Kaundal (2017). HAAR like Feature-Based Car Key Detection Using Cascade Classifier. In: Singh, R., Choudhury, S. (eds) Proceeding of International Conference on Intelligent Communication, Control and Devices . Advances in Intelligent Systems and Computing, vol 479. Springer, Singapore. https://doi.org/10.1007/978-981-10-1708-7_79
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DOI: https://doi.org/10.1007/978-981-10-1708-7_79
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