Object recognition device and computer readable storage medium

A non-transitory computer readable storage medium storing a computer program for executing a video tracking method comprising:

• determining a first tracking target in a video, and performing a video tracking process on the first tracking target based on the video;
• performing area overlap amount calculation on the first tracking target in a current image and the first tracking target in a past image during the video tracking process, the past image being an image obtained when the first tracking target was tracked last time in the video tracking process;
• extracting respective feature information of feature points of the first tracking target in the video during the video tracking process on the first tracking target;
• and
• if a result of the area overlap amount calculation is less than or equal to a preset threshold, matching the extracted respective feature information of the feature points of the first tracking target in the current image with the respective feature information of corresponding feature points of the first tracking target in the past image, and if the extracted respective feature information of at least a preset number of feature points among the feature points in the current image matches with the feature information of corresponding feature points of the first tracking target in the past image, continuing the video tracking process on the first tracking target.

A non-transitory computer readable storage medium storing a computer program for executing an object recognition method comprising:

• determining a first tracking target in a video, and performing a video tracking process on the first tracking target based on the video;
• performing area overlap amount calculation on the first tracking target in a current image and the first tracking target in a past image during the video tracking process, the past image being an image obtained when the first tracking target was tracked last time in the video tracking process;
• extracting respective feature information of feature points of the first tracking target in the video during the video tracking process on the first tracking target;
• if a result of the area overlap amount calculation is less than or equal to a preset threshold, matching the extracted respective feature information of the feature points of the first tracking target in the current image with the respective feature information of corresponding feature points of the first tracking target in the past image, and if the extracted respective feature information of at least a preset number of feature points among the feature points in the current image matches with the feature information of corresponding feature points of the first tracking target in the past image, continuing the video tracking process on the first tracking target;
• extracting object recognition feature vectors based on at least one frame image of the video on the first tracking target;
• matching the extracted object recognition feature vectors with object feature vectors of registered objects in a registration object library, the registration object library being established based on pre-learning of the object feature vectors in images of the registered objects;
• and
• taking one of the registered objects as a recognition result if the extracted object recognition feature vectors match with the object feature vectors of the one of the registered objects.