An object monitoring system comprising: first imaging means configured to create a state image by capturing a state occurring in a first range; specific state detection means configured to detect a specific state from the state image; second imaging means configured to create a monitoring target image by capturing a monitoring target present in a second range, the monitoring target which is determined according to a type of object that is presumed to be the cause of the specific state, wherein the specific state is a state in which a problematic behavior or a desirable behavior occurs; monitoring target analysis means configured to analyze a status of a monitoring target, using the state image from which the specific state is detected, wherein the status of a monitoring target is a movement or appearance of the monitoring target that can be specified from the state image; time prediction means configured to predict a time at which the monitoring target appears in the second range, based on a movement direction and a speed as the status of the monitoring target; monitoring target feature extraction means configured to: extract a feature used for specifying the monitoring target from the monitoring target image and to register the extracted feature of the monitoring target in storage means, the storage means storing features of monitoring targets in association with detected specific states; and object specification means configured to compare the features of each monitoring target, stored in the storage means, that have a type of the specific state in common with each other, extracted from the monitoring target images by the monitoring target feature extraction means, to specify, as an object, monitoring targets having features that are estimated to be identical, and to register the specified object in a blacklist, wherein a depression angle of the first imaging means is set to be larger than the depression angle of the second imaging means, and the second imaging means is configured to create the monitoring target image in a period determined based on the time predicted by the time prediction means. first imaging means configured to create a state image by capturing a state occurring in a first range; specific state detection means configured to detect a specific state from the state image; second imaging means configured to create a monitoring target image by capturing a monitoring target present in a second range, the monitoring target which is determined according to a type of object that is presumed to be the cause of the specific state, wherein the specific state is a state in which a problematic behavior or a desirable behavior occurs; monitoring target analysis means configured to analyze a status of a monitoring target, using the state image from which the specific state is detected, wherein the status of a monitoring target is a movement or appearance of the monitoring target that can be specified from the state image; time prediction means configured to predict a time at which the monitoring target appears in the second range, based on a movement direction and a speed as the status of the monitoring target; monitoring target feature extraction means configured to: extract a feature used for specifying the monitoring target from the monitoring target image and to register the extracted feature of the monitoring target in storage means, the storage means storing features of monitoring targets in association with detected specific states; and object specification means configured to compare the features of each monitoring target, stored in the storage means, that have a type of the specific state in common with each other, extracted from the monitoring target images by the monitoring target feature extraction means, to specify, as an object, monitoring targets having features that are estimated to be identical, and to register the specified object in a blacklist, wherein a depression angle of the first imaging means is set to be larger than the depression angle of the second imaging means, and the second imaging means is configured to create the monitoring target image in a period determined based on the time predicted by the time prediction means.