Abstract: A method for controlling an electric heater of a vehicular heating, ventilation, and air conditioning (HVAC) system includes turning on the electric heater; determining whether an ambient air temperature of a vehicle is higher than or equal to a threshold ambient air temperature, and a battery temperature is lower than or equal to a threshold battery temperature; determining whether battery efficiency is lower than or equal to threshold efficiency when the ambient air temperature of the vehicle is higher than or equal to the threshold ambient air temperature, and the battery temperature is lower than or equal to the threshold battery temperature; and turning off the electric heater when the battery efficiency is lower than or equal to the threshold efficiency, wherein the electric heater is configured to receive electric energy from the battery.

Abstract: A method for performing head tracking is disclosed. The method includes receiving an input of an image including a facial area and tracking a movement of the facial area, including if a rotation angle of a facial area is within a predetermined angle range from a front side, searching for a location change of feature points within a facial area through a comparison with a template learned in advance and if a rotation angle of a facial area is beyond a predetermined angle range from a front side, searching for a location change of feature points within a facial area through a comparison with a facial area image frame previously inputted.

Abstract: Various embodiments of the present disclosure presents a method for managing a reference face database to improve face recognition performance under a restricted memory environment, said method comprising: acquiring a new input face image; determining a classification condition corresponding to the input face image with reference to classification conditions of existing registered face images of a reference face database used for face recognition; and if the classification condition corresponding to the input face image is a specific classification condition and the value of the face image corresponding to the specific classification condition in the reference face database is less than a preset threshold value, selecting the input face image as an image that can be additionally registered to the reference face database.

Abstract: In the present disclosure, a plurality of frames of input images sequentially received for a predetermined time interval is obtained, and a face detecting operation is performed on a first frame if a full detecting mode is implemented. If a face is detected from a specific region of the first frame during the face detecting operation, a face tracking mode is implemented, a second frame is divided to produce the divided input image portions of the second frame, and the face tracking operation is performed on a surrounding region of the specific region of the divided input image portions of the second frame that corresponds to the specific region in the first frame. If the face is not detected in the face tracking mode, a partial detecting mode is implemented, and the face detecting operation is performed on image portions resized on divided input image portions of a third frame to which a specific region of the third frame corresponding to the specific region of the first frame belongs.

Abstract: In the present disclosure, a plurality of frames of input images sequentially received for a predetermined time interval is obtained, and a face detecting operation is performed on a first frame if a full detecting mode is implemented. If a face is detected from a specific region of the first frame during the face detecting operation, a face tracking mode is implemented, a second frame is divided to produce the divided input image portions of the second frame, and the face tracking operation is performed on a surrounding region of the specific region of the divided input image portions of the second frame that corresponds to the specific region in the first frame. If the face is not detected in the face tracking mode, a partial detecting mode is implemented, and the face detecting operation is performed on image portions resized on divided input image portions of a third frame to which a specific region of the third frame corresponding to the specific region of the first frame belongs.

Abstract: In the present disclosure, a plurality of frames of input images sequentially received for a predetermined time interval is obtained, and a face detecting operation is performed on a first frame if a full detecting mode is implemented. If a face is detected from a specific region of the first frame during the face detecting operation, a face tracking mode is implemented, a second frame is divided to produce the divided input image portions of the second frame, and the face tracking operation is performed on a surrounding region of the specific region of the divided input image portions of the second frame that corresponds to the specific region in the first frame. If the face is not detected in the face tracking mode, a partial detecting mode is implemented, and the face detecting operation is performed on image portions resized on divided input image portions of a third frame to which a specific region of the third frame corresponding to the specific region of the first frame belongs.

Abstract: Various embodiments of the present disclosure presents a method for managing a reference face database to improve face recognition performance under a restricted memory environment, said method comprising: acquiring a new input face image; determining a classification condition corresponding to the input face image with reference to classification conditions of existing registered face images of a reference face database used for face recognition; and if the classification condition corresponding to the input face image is a specific classification condition and the value of the face image corresponding to the specific classification condition in the reference face database is less than a preset threshold value, selecting the input face image as an image that can be additionally registered to the reference face database.

Abstract: The present disclosure is directed to performing head tracking. The method comprises: (a) receiving an input of an image including a facial area; and (b) tracking a movement of the facial area. The step (b) comprises: (b-1) if a rotation angle of a facial area is within a predetermined angle range from a front side, searching for a location change of feature points within a facial area through a comparison with a template learned in advance; and (b-2) if a rotation angle of a facial area is beyond a predetermined angle range from a front side, searching for a location change of feature points within a facial area through a comparison with a facial area image frame previously inputted.