Detection of objects in digital images

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.