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This paper presents a novel and effective night time vehicle detection system for detecting vehicles in front of the camera-assisted host car. The proposed algorithm works for both oncoming vehicles (Head light detection) and preceding vehicles (Tail light detection). Image processing techniques are applied to the input frames captured by the forward looking camera fitted behind the windshield screen of the host car just near to the rear view mirror. The system uses a novel segmentation technique based on adaptive fuzzy logic, a novel statistical mean intensity measure and ‘confirmation - elimination’ based classification algorithm, and state of the art mutually independent feature based objects detection algorithm based on correlation matrix generation for the light objects identified in the scene.