1. A method for location measurement and night-time forward vehicle detection using a single multi-exposure camera comprising: a preprocessing to select long and short exposure frame image among an auto exposure, a long exposure, a middle exposure and a short exposure of a multi-exposure camera; a candidate BLOB extracting to label and extract a candidate region by using a local maximum based binarization method to minimize binarization by adding at least two BLOBs at the long exposure frame image and, extracting a candidate region through labeling and, using a local-mean based binarization to extract a headlight and taillight of long distance in the short exposure frame image to a candidate region; a BLOB matching and feature extracting to predict a BLOB location using a BLOB tracking based on a short exposure frame and detecting an identical candidate BLOB in a different exposure frame image by designating a BLOB of a location which is closest to a predicted location of the long exposure frame then, extracting a specific information regarding an identical candidate BLOB from a different exposure frame image; and, classifying and pairing comprising: a MC_SVM classifying to classify related BLOBs to a headlight, a taillight, a reflector and an illuminant using a MC_SVM (Multi-Class SVM) based on the features extracted from the long exposure frame and the short exposure frame; and pairing which detects a BLOB determined as an identical vehicle by comparing the BLOBs classified as the headlight and taillight in the MC_SVM classifying according to barycentric coordinates.