Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a real-time distributed framework for composite event recognition in a calibrated pan-tilt camera network. A composite event comprises of events that occur simultaneously or sequentially at different locations across time. Distributed composite event recognition requires distributed multi-camera multi-object tracking and distributed multi-camera event recognition.  apply belief propagation to reach a consensus on the global identities of the objects in the pan-tilt camera network and to arrive at a consensus on the event recognized by multiple cameras simultaneously observing it.  propose a hidden Markov model based approach for composite event recognition.  also propose a novel probabilistic Latent Semantic Analysis based algorithm for pair-wise interaction recognition and present an application of our distributed composite event recognition framework, where the events are interactions beten pairs of objects.
['Ayesha Choudhary', 'Santanu Chaudhury', 'Subhashis Banerjee']
I am writing a research paper on a idea Distributed framework for composite event recognition in a calibrated pan-tilt camera network
[{"from": "human", "value": "I am writing a research paper on a idea Distributed framework for composite event recognition in a calibrated pan-tilt camera network"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a real-time distributed framework for composite event recognition in a calibrated pan-tilt camera network. A composite event comprises of events that occur simultaneously or sequentially at different locations across time. Distributed composite event recognition requires distributed multi-camera multi-object tracking and distributed multi-camera event recognition.  apply belief propagation to reach a consensus on the global identities of the objects in the pan-tilt camera network and to arrive at a consensus on the event recognized by multiple cameras simultaneously observing it.  propose a hidden Markov model based approach for composite event recognition.  also propose a novel probabilistic Latent Semantic Analysis based algorithm for pair-wise interaction recognition and present an application of our distributed composite event recognition framework, where the events are interactions beten pairs of objects."}]