{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T15:29:59Z","timestamp":1764084599226,"version":"3.41.2"},"reference-count":44,"publisher":"World Scientific Pub Co Pte Ltd","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Wavelets Multiresolut Inf. Process."],"published-print":{"date-parts":[[2023,9]]},"abstract":"<jats:p> Anomaly detection in public places using the video surveillance gains significance due to the real-time monitoring and security that ensures the personal assets and public security. Accordingly, in this research, a deep CNN model with Timber\u2013Prairie wolf optimization algorithm (TPWO) optimization is proposed for surveillance-based anomaly detection. To support the TPWO-based deep CNN anomaly detection model, tracking model named OptSpatio tracking model tracks the location and movement of the anomalous objects in any locality. The OptSpatio tracking model uses both visual and spatial tracking models to monitor any anomalous activity. On the other hand, TPWO is designed to tune the deep classifier for acquiring better detection performance. The TPWO-based model surpasses the competent methods in terms of accuracy by 97.214%, sensitivity by 97.831% and specificity by 96.668% with minimal EER of 2.786%. The MOTP values are also obtained at a rate of 0.7325; moreover, the effectiveness of the TPWO method is justified at the object-, frame-, and pixel-level analysis. <\/jats:p>","DOI":"10.1142\/s0219691323500121","type":"journal-article","created":{"date-parts":[[2023,2,17]],"date-time":"2023-02-17T02:48:45Z","timestamp":1676602125000},"source":"Crossref","is-referenced-by-count":4,"title":["Timber\u2013Prairie Wolf Optimization-Dependent Deep Learning Classifier for Anomaly Detection in Surveillance Videos"],"prefix":"10.1142","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9177-2422","authenticated-orcid":false,"given":"Baliram Sambhaji","family":"Gayal","sequence":"first","affiliation":[{"name":"Department of Electronics & Telecommunication Engineering, RMD Sinhgad School of Engineering, Pune 411058, Maharashtra, India"}]},{"given":"Sandip Raosaheb","family":"Patil","sequence":"additional","affiliation":[{"name":"Department of Electronics & Telecommunication Engineering, Bharati Vidyapeeth\u2019s College of Engineering for Women, Dhankawadi, Pune 411043, Maharashtra, India"}]}],"member":"219","published-online":{"date-parts":[[2023,4,26]]},"reference":[{"key":"S0219691323500121BIB001","first-page":"1","volume-title":"The Second European Conference on Antennas and Propagation, EuCAP 2007","author":"Anguera J.","year":"2007"},{"key":"S0219691323500121BIB002","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2021.103047","volume":"75","author":"Asad M.","year":"2021","journal-title":"J. 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