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Bounding overwatch
About: Bounding overwatch is a research topic. Over the lifetime, 966 publications have been published within this topic receiving 15156 citations.
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TL;DR: The jump point search (JPS) algorithm is a well known symmetry-breaking algorithm that can substantially improve performance for grid-based optimal pathfinding as mentioned in this paper. But when the input grid is static, further speedups can be achieved.
Abstract: Jump Point Search (JPS) is a well known symmetry-breaking algorithm that can substantially improve performance for grid-based optimal pathfinding. When the input grid is static further speedups can...
3 citations
TL;DR: Zhang et al. as discussed by the authors applied the ByteTrack algorithm instead of object detection to exploit the person's spatio-temporal information and generate a tube that maintains all the boxes that include the objects and associates high and low score boxes of the objects without raising false positive detection.
Abstract: Many venues, such as airports, railway stations, and shopping malls, have video surveillance systems for security and monitoring. However, searching for and retrieving people based on attribute descriptions in a large number of videos is difficult, particularly with weather variations and crowded places. Most of the existing attribute-based person retrieval systems consist of two main modules: object detection and person attribute recognition. The common drawbacks of object detection in the existing methods are false-positive, missing detection, and multi bounding boxes for the same object. Moreover, attribute recognition algorithms suffer from low accuracy for a single attribute classifier, while attributes error spread in the cascading multi-attribute classifier. This paper overcomes these issues by applying the ByteTrack algorithm instead of object detection to exploit the person's spatio-temporal information and generate a tube that maintains all the boxes that include the objects and associates high and low score boxes of the objects without raising false positive detection. Also, linking each person bounding boxes together results in more accurate attributes recognition than defining the attributes of each bounding box separately. Moreover, the proposed algorithm merges between selected predictions of two attribute recognition algorithms to improve the recognition performance. An extensive empirical evaluation was carried out on the SoftBioSearch database. The simulation results reveal that the proposed retrieval algorithm provides effective retrieval performance that exceeds the best conventional method by 14%.
3 citations
TL;DR: DText as mentioned in this paper proposes text-shape sensitive position embedding to encode the shape and position information according to the characteristics of the text instance, which can provide explicit shape-and position information to the generator of the dynamic convolution parameters.
3 citations
3 citations
TL;DR: In this article , the authors derived the optical curvature from the optical metric and calculated the deflection angle in weak field limits by using the Gauss-Bonnet theorem, and also studied the effect of the plasma medium on the weak gravitational lensing.
3 citations