1. An information processing system for detecting objects in a digital image, the information processing system comprising: a memory; a processor communicatively coupled to the memory; and an object detection system communicatively coupled to the memory and the processor, the object detection system configured to perform a method comprising: receiving at least one image representing at least one frame of a video sequence of an external environment; extracting a given color channel of the at least one image; identifying at least one blob that stands out from a background of the given color channel that has been extracted; extracting one or more features from the at least one blob that has been identified; providing the one or more features that have been extracted to a plurality of pre-learned object models each comprising a set of pre-defined features associated with a pre-defined blob type; comparing, in response to the providing, the one or more features to the set of pre-defined features of each of the plurality of pre-learned object models; determining, based on the comparing, that the at least one blob is of a type that substantially matches a pre-defined blob type associated with one of the pre-learned object models; and visually indicating, in response to the determining, at least a location of an object within the at least one image that corresponds to the at least one blob.