Abstract: In a case where a plurality of detection results by a plurality of dictionaries exists for the same subject, a subject type may not be correctly selected. An image processing apparatus includes a subject detection unit configured to detect a plurality of types of subjects for an input image, a detection reliability calculation unit configured to calculate detection reliability for the detected subjects, a priority subject setting unit configured to set the type of a subject as a priority subject, and a main subject determination unit configured to determine a detection result as a main subject from among the detected subjects based on the set priority subject and the detection reliability. the main subject determination unit determines one subject type in the same region based on the set priority subject, the detection reliability, and the types of the detected subjects.

Abstract: An image processing apparatus performs subject tracking by pattern matching using a template that is based on a set tracking target region. The apparatus performs the template matching by setting one of first and second region as a new tracking target region. Wherein the first region is detected by template matching and the second region corresponds to a previously set tracking target region.

Abstract: An imaging device acquires an input image using a lens unit and an imaging element and detects a subject. The imaging device calculates a reliability of detection of a subject and compares the reliability with a threshold value. When the reliability of detection of a subject is less than the threshold value, the imaging device performs a defocus calculating process and a background area determining process. The imaging device performs a low-pass filtering process on the determined background area, decreases a high-frequency component in the background area, and then detects a subject again.

Abstract: A disclosed image processing apparatus calculates a background vector expressing a motion of a background based on a plurality of motion vectors detected between a plurality of images. Then the image processing apparatus detects a motion vector of a moving object from the plurality of motion vectors, based on a magnitude of Euclidean distance between each of the plurality of motion vectors and the background vector.

Abstract: A disclosed image processing apparatus calculates a background vector expressing a motion of a background based on a plurality of motion vectors detected between a plurality of images. Then the image processing apparatus detects a motion vector of a moving object from the plurality of motion vectors, based on a magnitude of Euclidean distance between each of the plurality of motion vectors and the background vector.