As one of the core contents of intelligent monitoring, target tracking is the basis for video content analysis and processing. In visual tracking, due to occlusion, illumination changes, and pose and scale variation, handling such large appearance changes of the target object and the background over time remains the main challenge for robust target tracking. In this paper, we present a new robust algorithm (STC-KF) based on the spatio-temporal context and Kalman filtering. Our approach introduces a novel formulation to address the context information, which adopts the entire local information around the target, thereby preventing the remaining important context information related to the target from being lost by only using the rare key point information. The state of the object in the tracking process can be determined by the Euclidean distance of the image intensity in two consecutive frames. Then, the prediction value of the Kalman filter can be updated as the Kalman observation to the object position and marked on the next frame. The performance of the proposed STC-KF algorithm is evaluated and compared with the original STC algorithm. The experimental results using benchmark sequences imply that the proposed method outperforms the original STC algorithm under the conditions of heavy occlusion and large appearance changes.

A narrative collage is an interesting image editing method for summarizing the main theme or storyline behind an image collection. We present a novel method to generate narrative images with plausible semantic scene structures. To achieve this goal, we introduce a layer graph and a scene graph to represent the relative depth order and semantic relationship between image objects, respectively. We first cluster the input image collection to select representative images, and then we extract a group of semantic salient objects from each representative image. Both layer graphs and scene graphs are constructed and combined according to our specific rules for reorganizing the extracted objects in every image. We design an energy model to appropriately locate every object on the final canvas. The experimental results show that our method can produce competitive narrative collage results and that it performs well on a wide range of image collections.

Abstract-Appraisal theory has been focused on by more and more scholars because of its powerful function of analyzing interpersonal meanings, which not only pays attention to the contents and structure of discourses, but attaches more importance to speakers' or writers' attitude, stance and emotional tendency as well. Engagement, as one system of appraisal theory, is concerned with the sources of attitudes and different Engagement resources imply different attitudes and ideas of speakers or writers. Therefore, through interpreting the texts of different genres by means of Engagement, we can reveal the purpose and emotional tendency hidden behind the language. The paper offers an effective way of recognizing and calculating Engagement resources in Persian discourses in order to help the researchers in that field improve the efficiency of analysis.

UAV navigation spoofing technology can make UAV fly according to the preset spoofing trajectory by sending navigation spoofing signals. After analysis, this paper found that the current navigation spoofing research actual transformation is not strong: one is because the current strategy is too ideal and the control is not fine enough, did not consider the UAV navigation and flight control system as the main body of the integrated navigation spoofing control model, the second is the lack of a test environment to verify the effectiveness of spoofing. Therefore, we establish a navigation spoofing control model based on flight control according to the key technologies of UAV navigation spoofing, and on this basis add the control variables of spoofing relative position to study the feasible spoofing strategy. Finally, the new information detection and hardware-in-the-loop simulation are carried out to verify the spoofing effectiveness of this strategy, which lays a good foundation for navigation spoofing of real aircraft.