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Detecting pedestrians in images and videos plays a critically important role in many computer vision applications. Extraction of effective features is the key to this task. Promising features should be discriminative, robust to various variations and easy to compute. In this work, we presents a novel feature, termed pyramid center-symmetric local… (More)
—Accurately detecting pedestrians in images plays a critically important role in many computer vision applications. Extraction of effective features is the key to this task. Promising features should be discriminative, robust to various variations and easy to compute. In this work, we present novel features, termed dense center-symmetric local binary… (More)
The mean-shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. However, the lack of template update often leads to out of adaptation to affine transformation of the object. The Lucas-Kanade algorithm has some advantages in obtaining the affine parameters. In this paper, we introduce the inverse… (More)
Mutual information (MI) has been very successful in multisensor or multimodal image matching. However, it may lead to mismatching due to lack of spacial information. In this paper, based on a local dominant orientation (LDO), which is a stable nature among images of different sensors and is widely used in the relative rotation estimation, an improved MI for… (More)
In this paper, a new approach based on the q-method for coarse alignment is presented. Compared with the standard approach which is based on determining DCM (direct cosine matrix), the new method can avoid solving the DCM and get the initial quaternion directly that we used for the navigation calculation.
Infrared small target detection technology has great significance in the infrared guidance, infrared warming, video surveillance and other fields. From the perspective of human visual saliency, our paper proposes a novel infrared dim small target detection algorithm based on frequency domain saliency. First, we get saliency map in the frequency domain. The… (More)
Coning algorithm is the kernel during attitude algorithm design in strapdown inertial navigation. A new approach is presented for strapdown coning algorithm design based on batch-processing. Unlike previous time or frequency Taylor series expansion techniques, the new method achieves the rotation vector through discrete Fourier transforms(DFT) and inverse… (More)