{"title":"A real-time face tracker","authors":"Jie Yang, A. Waibel","doi":"10.1109/ACV.1996.572043","DOIUrl":"https://doi.org/10.1109/ACV.1996.572043","url":null,"abstract":"The authors present a real-time face tracker. The system has achieved a rate of 30+ frames/second using an HP-9000 workstation with a frame grabber and a Canon VC-Cl camera. It can track a person's face while the person moves freely (e.g., walks, jumps, sits down and stands up) in a room. Three types of models have been employed in developing the system. First, they present a stochastic model to characterize skin color distributions of human faces. The information provided by the model is sufficient for tracking a human face in various poses and views. This model is adaptable to different people and different lighting conditions in real-time. Second, a motion model is used to estimate image motion and to predict the search window. Third, a camera model is used to predict and compensate for camera motion. The system can be applied to teleconferencing and many HCI applications including lip reading and gaze tracking. The principle in developing this system can be extended to other tracking problems such as tracking the human hand.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116173116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detecting suspicious background changes in video surveillance of busy scenes","authors":"D. Gibbins, G. Newsam, M. Brooks","doi":"10.1109/ACV.1996.571990","DOIUrl":"https://doi.org/10.1109/ACV.1996.571990","url":null,"abstract":"Detecting background changes in scenes containing significant numbers of moving objects has several applications in video surveillance. One important example is the detection of suspicious packages left in busy airport terminals or train stations. The paper outlines a statistical approach to automatically detecting long term changes to the stationary component of a scene, and describes a prototype system which has been used to successfully demonstrate the feasibility of this approach.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121115080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Video indexing through integration of syntactic and semantic features","authors":"Bilge Günsel, A. Ferman, A. Tekalp","doi":"10.1109/ACV.1996.572007","DOIUrl":"https://doi.org/10.1109/ACV.1996.572007","url":null,"abstract":"This paper proposes a content-based video indexing system which provides the functionalities necessary for automatic management of video data through integration of syntactic and semantic features. The proposed system has been applied to detection, classification and then indexing of news programs collected from different TV channels. Although the paper focuses on news programs, the same methods can be used to extent-based index and search other TV programs with distinct semantic structure.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121115931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Control of scene reconstruction using explicit knowledge","authors":"R. Tonjes","doi":"10.1109/ACV.1996.571988","DOIUrl":"https://doi.org/10.1109/ACV.1996.571988","url":null,"abstract":"Applications such as landscape planning, environmental monitoring, and flight and driving simulators have a high demand for realistic landscape models. Quantity, precision and the type of models ask for methods which automate the model generation by evaluation of remote sensing data. The presented modelling system AIDA tackles the demand for efficient representation and high realism by integrating a priori knowledge about the appearance of the objects in the scene to drive object specific constraints for 3D reconstruction. This requires an image interpretation to assign a meaning to the objects in the scene. For explicit representation of the declarative and procedural knowledge a problem independent formalism based on semantic nets and rules is used. It provides both a data driven and model driven control strategy.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115068173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}