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An intelligent framework to detect and generate alert while cattle lying on road in dangerous states using surveillance videos

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Abstract

This paper presents the framework for early detection of cattle lying dead, blocking the road, or in a condition to cause an accident on highways based on video scrutiny. The suggested framework works with feature extraction, feature expression, and assessment criteria. It also includes a method that can identify the status of cattle on road i.e., cattle lying dead after an accident, a method for assessing stray cattle’s blocking the road, and rules for assessing other dangerous states. The framework is trained over 6000 images covering almost all the highway collision possibilities and tested on real images depicting different scenarios on highways. The proposed framework can achieve the mAP of up to 95.10% with precision and recall values of 0.98 and 0.94 respectively, which outperforms all other approaches taken into consideration. The outcomes of the study will assist the concerned authorities to take preventive steps to avoid road accidents or traffic-related issues.

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Data availability

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

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Authors and Affiliations

  1. Department of Computer Engineering Technology, Guru Nanak Dev University, Amritsar, India

    Gursimran Singh Kahlon, Harnoor Singh, Munish Saini & Sandeep Kaur

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  1. Gursimran Singh Kahlon
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  2. Harnoor Singh
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  3. Munish Saini
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Correspondence to Gursimran Singh Kahlon.

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Kahlon, G.S., Singh, H., Saini, M. et al. An intelligent framework to detect and generate alert while cattle lying on road in dangerous states using surveillance videos. Multimed Tools Appl 82, 34589–34607 (2023). https://doi.org/10.1007/s11042-023-15019-3

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