The proposed approach is demonstrated using simulated data. The outcome proves particularly attractive for real time embedded systems, as the primitives (features and classifier) have already proven good performances in low power embedded systems. This first result reveals the high potential of dual views fusion technique in the context of long duration unmanned video surveillance systems. It also encourages us to go further into miming the mechanisms of the human eye. In particular, it is expected that adding a retro-action of the fovea towards the peripheral vision will further enhance the quality and efficiency of the detection process.
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Louise Sarrabezolles, Antoine Manzanera, Nicolas Hueber, Maxime Perrot, Pierre Raymond, "Dual field combination for unmanned video surveillance," Proc. SPIE 10223, Real-Time Image and Video Processing 2017, 102230A (1 May 2017);