Titlebook: Computer Vision; CCF Chinese Conferen Hongbin Zha,Xilin Chen,Qiguang Miao Conference proceedings 2015 Springer-Verlag Berlin Heidelberg 201

断断续续

Research and Application of Moving Target Tracking Based on Multi-innovation Kalman Filter Algorithors theoretically analyzed the convergence of improved Multi-innovation Kalman Filter algorithm. Finally, simulation results show that the improved algorithm Multi- innovation Kalman Filter is superior to the traditional Kalman Filter.

粗语

Visual Tracking via Structure Rearrangement and Multi-scale Block Appearance Model,t for next frame according to the occlusion map of current tracking result. Both qualitative and quantitative evaluations on challenging image sequences demonstrate that the proposed tracking algorithm performs favorably against several state-of-the-art methods.

含糊

ingestion

Improved 3D Local Feature Descriptor Based on Rotational Projection Statistics and Depth Informatioriptor, the IRoPS descriptor includes the local depth information and it has better discriminative power. Extensive experiments are performed to verify the superior performance of the proposed descriptor.

诗集

陪审团

窒息

tendinitis

Confess

https://doi.org/10.1007/978-94-010-1446-5 in the SRC model and considers both sparsity and correlation. The TSRC method can benefits from both .-norm and .-norm, which is flexible and can obtain satisfactory results. Experimental results on 2 face databases clearly show that the proposed TSRC method outperforms many state-of-the-art face recognition methods.

heirloom

Religion, and the Rise of Secularismurposes. Various experiments based no benchmark datasets and real videos demonstrate the efficacy of the proposed method in the respect of processing speed and stability for changing object appearance and scenarios.