Crowdsourcing Based Event Reporting System Using Smartphones with Accurate Localization and Photo Tamper Detection

摘要: Crowdsourcing provides a novel and efficient paradigm to leverage numerous smartphone users report timely information (time, location, photo, etc.) about events, enabling various urban sensing applications such as environment monitoring public space management. Localization photographing are two of the most important function modules in crowdsourcing based event reporting systems, which used tell people where what events happen. However, existing systems tend localize user instead event, resulting poor accuracy. Meanwhile, localization approaches need either complex operation or computation process. For this reason, we propose simple, effective, light-weight approach for localization. On other hand, cannot guarantee photo authenticity, emerging image editing processing softwares have made (malicious) tampering easier easier. Accordingly, design smartphone-based tamper detection with high security. Detailed system implementation performance evaluation provided verify effectiveness our proposed approaches.