Abstract
Criminal activities have increased largely over the past couple of years and the security of the commoners especially women have been hugely jeopardized. There has been multifarious cases of threats and assaults with weapons in the present days especially with knives which are one of the most common and readily available household items. Such cases have made CCTV cameras a common sighting in the neighbourhood. The prime idea behind their installation is surveillance. The footage from such cameras can serve as an extremely important source of evidence during investigation. However, such systems only make themselves useful as evidences of a crime and do not aid in prevention of a crime in progress. Standing in such times, making CCTV cameras intelligent can be a solution which can detect weapons and thereafter alert authorities. Here, a deep learning based system is presented which can automatically detect visible knives to alert authorities of a prospective crime and thereby aid in women security. The system has been tested on a freely available dataset [5] consisting of over 12000 frames and a highest accuracy of 96.11% has been obtained. We have also tested the performance of handcrafted feature-based framework with grey level co-occurrence matrix (GLCM) and our system produced better result.
K. C. Santosh—IEEE Senior Member.
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Mukherjee, H. et al. (2021). A Deep Learning Based Visible Knife Detection System to Aid in Women Security. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1381. Springer, Singapore. https://doi.org/10.1007/978-981-16-0493-5_6
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