A motion information calculation unit acquires motion information between a plurality of target images. An occlusion information calculation unit generates occlusion information between the target images. An image interpolation processing unit determines priority of the motion information based on the motion information and the occlusion information, and performs predetermined image processing for the target images by using motion information that is weighted based on the priority.

A motion information calculation unit acquires motion information between a plurality of target images. An occlusion information calculation unit generates occlusion information between the target images. An image interpolation processing unit determines priority of the motion information based on the motion information and the occlusion information, and performs predetermined image processing for the target images by using motion information that is weighted based on the priority.

The present disclosure provides a tracking system and method thereof. The tracking system comprises a trackable device with an appearance including a feature pattern and a tracking device. The tracking device comprises an optical sensor module configured to capture a first image which covers the trackable device. The tracking device further comprises a processor coupled to the optical sensor module. The processor is configured to retrieve a region of interest (ROI) of the first image based on the feature pattern, and locate a position of each of a plurality of feature blocks in the ROI, where each feature block contains a portion of the feature pattern. The processor further calculates a pose data of the trackable object according to the positions of the feature blocks.

The present disclosure provides a tracking system and method thereof. The tracking system comprises a trackable device with an appearance including a feature pattern and a tracking device. The tracking device comprises an optical sensor module configured to capture a first image which covers the trackable device. The tracking device further comprises a processor coupled to the optical sensor module. The processor is configured to retrieve a region of interest (ROI) of the first image based on the feature pattern, and locate a position of each of a plurality of feature blocks in the ROI, where each feature block contains a portion of the feature pattern. The processor further calculates a pose data of the trackable object according to the positions of the feature blocks.

A motion detection method using an image processing device may include: based on the noise level of a current frame, obtaining a weighted average of a sum of absolute differences (SAD) value and an absolute difference of sums (ADS) value; setting the weighted average as an initial motion detection value of each pixel; and selectively performing max filtering on motion detection values of the pixels to obtain a final motion detection value.

An image processing apparatus includes an image acquisition unit configured to extract an image from a video image, a history management unit configured to generate movement history of an object, a setting unit configured to set a search range in the image based on the movement history, and a tracking unit configured to detect a target object in the search range and associate a currently detected target object with a previously detected target object, to perform tracking on the target object.

[Object] To obtain a more useful image when an image including a 360 view around the camera is used without being remapped. [Solution] Provided is an image processing device including: an image acquisition unit that acquires a 360 image; and a rotational angle computation unit that computes a rotational angle of the 360 image in a manner that a reference point included in the 360 image is positioned in a designated orientation with respect to a center of the 360 image.

[Object] To obtain a more useful image when an image including a 360 view around the camera is used without being remapped. [Solution] Provided is an image processing device including: an image acquisition unit that acquires a 360 image; and a rotational angle computation unit that computes a rotational angle of the 360 image in a manner that a reference point included in the 360 image is positioned in a designated orientation with respect to a center of the 360 image.

An information processing apparatus includes an acquisition unit configured to acquire a plurality of first captured images acquired in a plurality of first image capturing operations based on a first imaging parameter, and motion information for a subject in the plurality of first captured images, a setting unit configured to set a second imaging parameter, an estimation unit configured to estimate, based on the motion information and the second imaging parameter, a motion blur of a subject in a second captured image acquired when a second image capturing is performed based on the second imaging parameter and a notification unit configured to notify of the motion blur. The motion blur is a statistic of a motion blur in each of the plurality of first captured images.

The architecture shown can perform global search, local search and local sub pixel search in a parallel or in a pipelined mode. All operations are in a streaming mode without the requirement of external intermediate data storage.