12. A mobile body track identification method comprising: generating track-coupling candidates corresponding to combinations of tracks of mobile bodies detected in a predetermined time in the past; generating sets of track-coupling candidate/identification pairs combining track-coupling candidates and identifications of mobile bodies detected in the predetermined time in the past, thus generating hypotheses corresponding to sets of track-coupling candidate/identification pairs satisfying a predetermined condition; selecting individual hypotheses so as to calculate identification likelihoods representing likelihoods of detecting identifications with respect to tracks indicated by track-coupling candidates included in each of track-coupling candidate/identification pairs ascribed to each of the selected hypotheses; integrating identification likelihoods for each track-coupling candidate/identification pair so as to calculate an identification likelihood for each of the selected hypotheses; and estimating a most-probable hypothesis based on identification likelihoods of hypotheses.
12. A mobile body track identification method comprising: generating track-coupling candidates corresponding to combinations of tracks of mobile bodies detected in a predetermined time in the past; generating sets of track-coupling candidate/identification pairs combining track-coupling candidates and identifications of mobile bodies detected in the predetermined time in the past, thus generating hypotheses corresponding to sets of track-coupling candidate/identification pairs satisfying a predetermined condition; selecting individual hypotheses so as to calculate identification likelihoods representing likelihoods of detecting identifications with respect to tracks indicated by track-coupling candidates included in each of track-coupling candidate/identification pairs ascribed to each of the selected hypotheses; integrating identification likelihoods for each track-coupling candidate/identification pair so as to calculate an identification likelihood for each of the selected hypotheses; and estimating a most-probable hypothesis based on identification likelihoods of hypotheses. 13. The mobile body track identification method according to claim 12 further comprising: storing a probability map defining detection probabilities of identifications of mobile bodies in response to positional coordinates of mobile bodies in the tracking area in advance; specifying a position of a mobile body on tracks indicated by each track-coupling candidate at each identification detection time for each track-coupling candidate/identification pair ascribed to each of the selected hypotheses; reading a probability value of detecting the mobile body at the position from the probability map; calculating an identification likelihood based on the probability value; further integrating identification likelihoods for each track-coupling candidate/identification pair so as to calculate an identification likelihood regarding each of the selected hypotheses; and estimating the most-probable hypothesis based on identification likelihoods of hypotheses.