1. A video stabilizing method, comprising the steps of: 1) capturing a low-spatial-resolution image I L t by a first camera for monitoring a panoramic area and a high-spatial-resolution image I H t by a second camera which is synchronous with the first camera for capturing an image of a moving target where I L t , I H t represent the low-spatial-resolution image and the high-spatial-resolution image at the t th time respectively; 2) determining a target region I L — tar t including the moving target in the low-spatial-resolution image I L t , and obtaining an output image I out t of the high-spatial-resolution image I H t corresponding to the target region I L — tar t ; 3) generating a registration model M LH t between the low-spatial-resolution image I L t and the high-spatial-resolution image I H t ; and 4) inpainting the output image I out t based on the registration model M LH t and the high-spatial-resolution image I H t to complete the output image I out t. wherein the step 3) further comprises: generating a rough registration model M LH1 t between the low-spatial-resolution image I L t and the high-spatial-resolution image I H t by employing a feature-based alignment algorithm; generating an adjusted image I t — adj t by adjusting an intensity of the low-spatial- resolution image I L t ; generating a refined registration model M LH t between the low-spatial-resolution image I L t and the high-spatial-resolution image I H t based on the rough registration model M LH1 t and the adjusted image I L — adj t by a pixel-based alignment algorithm, and the step of generating a rough registration model M LH1 t further comprises: calculating SURF or SIFT key points of the target regions I L — tar t in the low-spatial-resolution image I L t and the high-spatial-resolution image I H t respectively; calculating a distance between each SURF or SIFT key point of the high-spatial-resolution image I H t and each SURF or SIFT key point of the target region I L — tar t in the low-spatial-resolution image I L t , to generate matched SURF or SIFT key points between the high-spatial-resolution image I H t and the target region I L — tar t in the low-spatial-resolution image I L t ; and generating the rough registration model M LH1 t based on the matched SURF or SIFT key points.