Yongbin Zheng

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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)
Solving the large-scale problems with semidefinite programming SDP constraints is of great importance in modeling and model reduction of complex system, dynamical system, optimal control, computer vision, and machine learning. However, existing SDP solvers are of large complexities and thus unavailable to deal with large-scale problems. In this paper, we(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)
Detecting pedestrians in images plays a very important role 6 in many computer vision applications such as video surveillance, smart 7 cars and robotics. Feature extraction is the key for this task. Promis8 ing features should be discriminative, robust and easy to compute. This 9 paper presents a novel and efficient feature, termed pyramid center10(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)