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In this paper, we investigate the visual attention modeling for stereoscopic video from the following two aspects. First, we build one large-scale eye tracking database as the benchmark of visual attention modeling for stereoscopic video. The database includes 47 video sequences and their corresponding eye fixation data. Second, we propose a novel computational model of visual attention for stereoscopic...
Odometry is a very popular research direction in recent decades and plays a very critical role in the autonomous navigation system. VISO2, as a relatively robust and mature visual odometry algorithm, becomes unreliable when distinct visual features are insufficiently or when the texture of the environment is repetitive. Even if not in such a challenging environment, the drift is still a big problem...
Currently, robot learning of human activities is mainly studied in two largely disconnected domains: high level semantics understanding in human activity recognition, and low level motion trajectory reproduction in robot imitation learning. The critical problem of human activity unified learning (HAUL) was not well studied in previous work. One important challenge is the lack of a representation that...
In this paper, we propose a computational model of visual attention for stereoscopic video. Low-level visual features including color, luminance, texture and depth are used to calculate feature contrast for spatial saliency of stereoscopic video frames. Besides, the proposed model adopts motion features to compute the temporal saliency. Here, we extract the relative planar and depth motion for temporal...
In digital image stabilization, the real camera motion usually illustrates different modes and properties, such as large moving trends, wandering patterns, diverse jitters and so on, which make the performance of motion filtering very difficult to be universally evaluated. This paper proposes a universal and objective evaluation method for motion filtering in time scale space. According to the wavelet...
Spine morphological analysis plays an important role in various medical purposes. However, the most conventional methods for the task employing radiography techniques cause considerable radiation damage to the patient and costs such high expense, which is not suitable for frequent examinations and treatments for certain groups of patient. Depending on the subjective analysis is also an obvious shortcoming...
Activity recognition of multi-individuals (ARMI) within a group, which is essential to practical human-centered robotics applications such as childhood education, is a particularly challenging and previously not well studied problem. We present a novel adaptive human-centered (AdHuC) representation based on local spatio-temporal features (LST) to address ARMI in a sequence of 3D point clouds. Our...
Human can judge driver's driving ability by observing the vehicle motion in different traffic scenes. Identically, driving behavior can be the main basis for evaluating the performance of an unmanned vehicle in both field test and simulation test. Although simulation test avoids disadvantages of field test, existing simulation systems lack traffic scene data with perception granularity of visual sensors...
In three dimension multiple-input multiple-output (3D MIMO) systems, large number of antennas are arranged at base station (BS) to obtain high spectral efficiency and large throughput. But increase of BS antennas also enhances the computational complexity of the multiuser precoding algorithm such as block diagonalization (BD) significantly. For the dimension increase of channel matrix, various ways...
The traffic scenario consists of the road scenario and traffic elements. The original image sequences can be captured by a moving platform equipped with camera by driving along the road. In this paper, an approach based on augmented reality is proposed that supplements new elements (traffic cones, obstacles, etc.) into those image sequences. We model the traffic scenario in the 3D space of the scene,...
In this paper, we present a cluster parameter based analysis of an outdoor-to-indoor (O2I) Multiple-Input-Multiple-Output (MIMO) measurement campaign carried out at 3.5 GHz in an office building. The measurement was performed using a wideband multi-antenna radio channel sounder. Besides azimuth angle of arrival (AoA), azimuth angle of departure (AoD) and delay domains included in traditional 2 dimensional...
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