{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T06:26:06Z","timestamp":1763533566066,"version":"3.45.0"},"reference-count":62,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T00:00:00Z","timestamp":1749686400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,11,13]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The privacy of irrelevant individuals appearing in social media videos is often compromised, which presents a challenging issue for privacy protection. Current approaches to privacy protection primarily rely on manually identifying irrelevant individuals, which is both time-consuming and labor-intensive. Therefore, this paper proposes an automatic algorithm for identifying irrelevant individuals to protect their privacy efficiently. The method employs multi-object tracking to extract spatiotemporal motion features, enabling the automated recognition of irrelevant individuals. In addition, a trajectory association algorithm is employed to improve the precision of tracking from occlusion and blurring during motion. Additionally, as the field of irrelevant people privacy protection lacks data support, this paper constructs a dataset for further research, consisting of 101 685 irrelevant faces and 40 247 relevant faces. Through experimental validation on various datasets, the proposed method shows significant improvements in various metrics compared with the state-of-the-art approaches, with MOTA increasing by 3.2%, HOTA increasing by 13%, and the accuracy of individual irrelevant recognition reaching 96.78%.<\/jats:p>","DOI":"10.1093\/comjnl\/bxaf075","type":"journal-article","created":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T15:10:37Z","timestamp":1749741037000},"page":"1798-1812","source":"Crossref","is-referenced-by-count":0,"title":["Automated irrelevant individuals recognition algorithm in video via motion trajectories"],"prefix":"10.1093","volume":"68","author":[{"given":"Yixin","family":"Ma","sequence":"first","affiliation":[{"name":"AVIC Chengdu Aircraft Design & Research Institute , Qingyang District, Chengdu, 610031,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaping","family":"Lin","sequence":"additional","affiliation":[{"name":"School of 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