11. A method for annotating a video of an environment in an eye tracking system comprising: acquiring the video and a set of gaze tracking coordinates representing, for each of a plurality of frames comprising the video, a position within the environment at which a user is looking; extracting a set of features from a region of interest defined around the gaze coordinates for a given frame; selecting an area of interest from at least one stored area of interest in a library by comparing the extracted set of features to at least one set of features corresponding to the at least one stored area of interest in the library to provide a confidence value; accepting the selected area of interest if confidence value meets a threshold value; and providing the region of interest to a human expert for assignment of an object label if the confidence value does not meet a threshold value.
11. A method for annotating a video of an environment in an eye tracking system comprising: acquiring the video and a set of gaze tracking coordinates representing, for each of a plurality of frames comprising the video, a position within the environment at which a user is looking; extracting a set of features from a region of interest defined around the gaze coordinates for a given frame; selecting an area of interest from at least one stored area of interest in a library by comparing the extracted set of features to at least one set of features corresponding to the at least one stored area of interest in the library to provide a confidence value; accepting the selected area of interest if confidence value meets a threshold value; and providing the region of interest to a human expert for assignment of an object label if the confidence value does not meet a threshold value. 13. The method of claim 11 , further comprising: extracting a plurality of features from a region of interest defined around the gaze coordinates for a first frame of the plurality of frames; providing the region of interest to the human expert via the user interface; receiving the object label for region of interest; and storing the extracted plurality of features and the received object label as a first area of interest in the library.