Nghiên cứu và phát triển các kỹ thuật định vị và định danh kết hợp thông tin hình ảnh và WiFi

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Nghiên cứu và phát triển các kỹ thuật định vị và định danh kết hợp thông tin hình ảnh và WiFi

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Modern technology is changing human life in many ways, notably in the way people interact with technological products. Human-computer interaction becomes more and more natural and convenient and this makes our life more enjoyable and comfortable. A new concept was formed for this revolutionary change that is Ambient Intelligent (AmI). Ambient Intelligence (AmI) has become an active area with many related projects, research programs and potential applications in di erent domains, such as home, oce, education, entertainment, health care, emergency services, logistic, transportation, security and surveillance [135], [116], [164], [67], [62], [43], [123]. A common viewpoint shared by many authors [3], [61], [14], [40] is that AmI refers to digital environments in which the environmental information (temperature, humidity..) and the human presence are perceived automatically by sensors and devices interconnected through networks. Three main features of Perceiving, Modeling and Acting are required for an AmI system [40]. Perceiving is also considered as the problem of context awareness, in which humanity with their attributes are the center of perception. Modeling relates to feature extraction and building discriminate descriptor for each object. Finally, Acting speci es the response of the environment to the people inhabiting in it by providing adaptive and user-transparent services. Although the vision of AmI was introduced more than ten years ago and its research has strengthened and expanded, the development and implementation of the real-life applications are still in infancy. There are many practical challenges that need to be addressed in each of the contributing technological areas or particular applications [2].

... from the distinctive sensors like WiFi and visual sensors ❼ Signal synchronization between different sensors of WiFi and camera This is a necessary step before testing and evaluating any fusing... environments by using WiFi and camera systems For this, the concrete objectives are: ❼ Constructing an improved method for WiFi- based localization The method al- lows to to use popular WiFi- enable devices,... of WiFi and camera 119 Figure 5.3 Flowchart of fusion algorithm 120 Figure 5.4 A 2D floor map of the testing environment in Figure 5.5, with the routing

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Mục lục

  • DECLARATION OF AUTHORSHIP

  • ACKNOWLEDGEMENT

  • CONTENTS

  • SYMBOLS

  • LIST OF TABLES

  • LIST OF FIGURES

  • LITERATURE REVIEW

    • WiFi-based localization

    • Vision-based person localization

      • Human detection

        • Motion-based detection

        • Classifier-based detection

        • Human tracking

        • Human localization

        • Person localization based on fusion of WiFi and visual properties

        • Vision-based person re-identification

        • Conclusion

        • WIFI-BASED PERSON LOCALIZATION

          • Framework

          • Probabilistic propagation model

            • Parameter estimation

            • Reduction of Algorithm Complexity

            • Fingerprinting database and KNN matching

            • Experimental results

              • Testing environment and data collection

              • Experiments for propagation model

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