The invention provides an individual important place detection method based on track data of a monitoring camera. The method comprises the following steps: step 1, extracting a geographic area capableof representing that an individual stays for a period of time according to a camera time sequence and geographic position information recorded by track data of an individual monitoring camera, and abstracting the geographic area as a staying point of the individual; step 2, carrying out spatial clustering according to the geographic positions of the stay points of the individuals, abstracting thestay points into stay areas, and calculating feature values of the stay areas; step 3, calculating a Mahalanobis distance corresponding to the staying area based on the characteristic value of the staying area, performing abnormal value judgment on the Mahalanobis distance corresponding to the staying area, and taking the staying area which is judged to be an abnormal value as an important placeof the individual; and step 4, classifying each important place of the individual according to the time period characteristics of the individual moving in different important places. The individual important place detection method provided by the invention can improve the precision of individual important place detection.