By analyzing urgent demands of electro-optical cooperative detection in modern naval battle, the necessity of improving effectiveness of systematic detection in ship formation. By overview the domestic and foreign research status, the gaps are pointed out in comparison. As a case of synthetical EO/IR surveillance and response equipment, the key techniques in electro-optical cooperative detection, such as cooperative tracking, recognition and passive ranging, are selective analysis subsequently. The corresponding approaches of solution are proposed: deep learning based divided OE recognition technique by layer time series, tracking theory base on pattern similarity measurement analysis and grey prediction, infrared synthetical passive ranging theory based on multiple frame filtering.