Vision-based Real-Time Aerial Object Localization and Tracking for UAV Sensing System

The paper focuses on the problem of vision-based obstacle detection and tracking for unmanned aerial vehicle navigation. A real-time object localization and tracking strategy from monocular image sequences is developed by effectively integrating the object detection and tracking into a dynamic Kalman model. At the detection stage, the object of interest is automatically detected and localized from a saliency map computed via the image background connectivity cue at each frame; at the tracking stage, a Kalman filter is employed to provide a coarse prediction of the object state, which is further refined via a local detector incorporating the saliency map and the temporal information between two consecutive frames. Compared to existing methods, the proposed approach does not require any manual initialization for tracking, runs much faster than the state-of-the-art trackers of its kind, and achieves competitive tracking performance on a large number of image sequences. Extensive experiments demonstrate the effectiveness and superior performance of the proposed approach.Comment: 8 pages, 7 figure

Direct observation of high-speed plasma outflows produced by magnetic reconnection in solar impulsive events

Spectroscopic observations of a solar limb flare recorded by SUMER on SOHO reveal, for the first time, hot fast magnetic reconnection outflows in the corona. As the reconnection site rises across the SUMER spectrometer slit, significant blue- and red-shift signatures are observed in sequence in the Fe XIX line, reflecting upflows and downflows of hot plasma jets, respectively. With the projection effect corrected, the measured outflow speed is between 900-3500 km/s, consistent with theoretical predictions of the Alfvenic outflows in magnetic reconnection region in solar impulsive events. Based on theoretic models, the magnetic field strength near the reconnection region is estimated to be 19-37 Gauss.Comment: 5 pages, 6 color figures, 1 animation onlin

Table-to-text Generation by Structure-aware Seq2seq Learning

Table-to-text generation aims to generate a description for a factual table which can be viewed as a set of field-value records. To encode both the content and the structure of a table, we propose a novel structure-aware seq2seq architecture which consists of field-gating encoder and description generator with dual attention. In the encoding phase, we update the cell memory of the LSTM unit by a field gate and its corresponding field value in order to incorporate field information into table representation. In the decoding phase, dual attention mechanism which contains word level attention and field level attention is proposed to model the semantic relevance between the generated description and the table. We conduct experiments on the \texttt{WIKIBIO} dataset which contains over 700k biographies and corresponding infoboxes from Wikipedia. The attention visualizations and case studies show that our model is capable of generating coherent and informative descriptions based on the comprehensive understanding of both the content and the structure of a table. Automatic evaluations also show our model outperforms the baselines by a great margin. Code for this work is available on https://github.com/tyliupku/wiki2bio.Comment: Accepted by AAAI201

Primary tissue culture of human laryngeal carcioma and interaction with native lymphocytes

Primary tissue culture of human laryngeal carcinomas, producing cells similar to the original tumour, was effected in serum-supplemented medium. This culture method provided a good investigative model for the study of lymphocyte/epithelial cell interactions in tumour and normal cultures. Of 107 laryngeal and hypopharyngeal carcinomas, 45% grew. The appearances were compared with similar preparations taken from normal true cord of the same larynx, of which 70% grew. No morphological differences were found by light or electron microscopy. Bizarre morphology occurred in 20% of cultures, mainly in tumour but also in normal cultures. This appeared in cultures which had ceased proliferation at an earlier stage than non-bizarre cultures and was identified by inactivity of monolayer and lack of intracellular activity, as observed by time-lapse video microscopy. Cultures were revealed by time-lapse video microscopy to support motile lymphocytes, which appeared phase-dark, both on the upper and lower monolayer surfaces under phase-contrast optics. Tumour-infiltrating lymphocytes migrated from laryngeal explants onto the emerging monolayer. These cells remained activated on the culture for as long as 19 days. Many attempts were made by tracking methods to identify lymphocyte phenotype, which was found to be T cell, although heterogeneous subset identities existed. Bizarre type cultures lacked motile lymphoid cells suggesting that lymphocytes require stimulants produced by proliferating cultured epithelial cells. Mitotic tumour cells were shown, using vector analysis, to be chemotactic for T cells. This was a unique function of the culture method. This chemotactic phenomenon could not be repeated if diffusion was increased, presumably because products of cell growth were dissipated. Mitotic chemotaxis be related to mediators by the epithelium specific for T cells