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We proposed a novel and a Hierarchical Feature Model (HFM) for multi-target tracking. The traditional tracking algorithms
use handcrafted features that cannot track targets accurately when the target model changes due to articulation,
different illuminations and perspective distortions. Our HFM explore deep features to model the appearance of targets.
Then, we explore an unsupervised dimensionality reduction for sparse representation of the feature vectors to cope

Semantic labeling for the very high resolution (VHR) image of urban areas is challenging, because of many complex man-made objects with different materials and fine-structured ob-jects located together. Under the framework of convolutional neural networks (CNNs), this paper proposes a novel end-to-end network for semantic labeling.

We propose a method for accurate alignment of ground and aerial multi-view stereo (MVS) models. We achieve this goal by reconstructing the surface meshes from MVS point clouds generated by aerial and ground images respectively, and then iteratively removing the gap between them. The key issue is how to establish reliable correspondences between two meshes.

In this paper, we propose an infinite impulse response (IIR)
filtering with complex coefficients for Euclid distance based
filtering, e.g. bilateral filtering. Recursive filtering of edgepreserving
filtering is the most efficient filtering. Recursive
bilateral filtering and domain transform filtering belong to
this type. These filters measure the difference between pixel
intensities by geodesic distance. Also, these filters do not
have separability. The aspects make the filter sensitive to

A novel trademark image retrieval(TIR) method is proposed in this work. The proposed approach commences with region partitioning through rotationally capturing multi-level regions of an image in a hierarchical manner, and then an effective region measurement is used as shape description of the regions generated from region partitioning stage. A shifting feature matching strategy is used to evaluate the similarity between the query and database images. The experimental results on the standard shape databases demonstrate its superiority performance over the state-of-the-art approaches.