document: SafeVchat : detecting obscene content and misbehaving users in online video chat services Online video chat services such as Chatroulette , Omegle , and vChatter that randomly match pairs of users in video chat sessions are fast becoming very popular , with over a million users per month in the case of Chatroulette . A key problem encountered in such systems is the presence of flashers and obscene content . This problem is especially acute given the presence of underage minors in such systems . This paper presents SafeVchat , a novel solution to the problem of flasher detection that employs an array of image detection algorithms . A key contribution of the paper concerns how the results of the individual detectors are fused together into an overall decision classifying the user as misbehaving or not , based on Dempster-Shafer Theory . The paper introduces a novel , motion-based skin detection method that achieves significantly higher recall and better precision . The proposed methods have been evaluated over real-world data and image traces obtained from Chatroulette.com .
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