{"type":"ScholarlyArticle","title":"Robust Object Tracking with a Case-Base Updating Strategy","authors":[{"name":"Wenhui Liao","slug":"wenhui-liao","given":"Wenhui","family":"Liao","affiliation":""},{"name":"Yan Tong","slug":"yan-tong","given":"Yan","family":"Tong","affiliation":""},{"name":"Zhiwei Zhu","slug":"zhiwei-zhu","given":"Zhiwei","family":"Zhu","affiliation":""},{"name":"Qiang Ji","slug":"qiang-ji","given":"Qiang","family":"Ji","affiliation":""}],"abstract":"The paper describes a simple but effective framework for visual object tracking in video sequences. The main contribution of this work lies in the introduction of a case-based reasoning (CBR) method to maintain an accurate target model automatically and efficiently under significant appearance changes without drifting away. Specifically, an automatic case-base maintenance algorithm is proposed to dynamically update the case base, manage the case base to be competent and representative, and to maintain the case base in a reasonable size for real-time performance. Furthermore, the method can provide an accurate confidence measurement for each tracked object so that the tracking failures can be identified in time. Under the framework, a real-time face tracker is built to track human faces robustly under various face orientations, significant facial expressions, and illumination changes.","doi":null,"url":"https://ijcai.org/proceedings/2007/149","pdf":"https://ijcai.org/proceedings/2007/0149.pdf","markdown":"https://ijcai.org/proceedings/2007/149.md","bibtex":"https://ijcai.org/proceedings/2007/bibtex/149","volume":{"slug":"2007","title":"Proceedings of the Twentieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2007","url":"https://ijcai.org/proceedings/2007/","year":2007,"location":"Hyderabad, India","dates":"","editors":"Ramon López de Mántaras","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":149,"pages":{"first":925,"last":929},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}