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. 22. The mobile body track identification method according to claim 12 further comprising: storing environmental information representing a transient time of a mobile body along a passable path in a tracking area; calculating a real transient time from a track disappearance detection time to a next track appearance detection time with respect to each track-coupling candidate; estimating a transient time of a mobile body from a track disappearance time to a next track appearance time based on the environmental information; and precluding track-coupling candidates each having the estimated transient time longer than the real transient time from track-coupling candidates for use in generation of hypotheses.