A Novel Trajectory Similarity Evaluation Method in VANETs

Yang, Nanying; Zheng, Jiming; Liu, Qing; Cao, Yuru

doi:10.14257/ijmue.2014.9.6.18

Cited by 1 publication

(2 citation statements)

References 22 publications

(33 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The work was designed for application to any metric that can compare vectors of different lengths, such as those found in [27,[66][67][68][69][70]. To prove the validity of the proposed metric, tests were first carried out with the trajectories being generated through a code developed in MATLAB; the trajectories were mapped to the global space such that the coordinates could be expressed in millimeters.…”

Section: Resultsmentioning

confidence: 99%

“…The most common use of the information obtained from a distributed camera system is motion detection and the tracking of objects of interest [3]. Distributed camera systems have proven useful as a passive means of detecting events or situations of interest; for example, the detection of an atypical behavior [16][17][18], the evolution of the dynamics of movement of an object in time [19][20][21], target tracking for surveillance applications [3,[22][23][24][25][26][27], and tridimensional reconstruction [28][29][30]. Other important works are [16,[31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Queries through Augmented Reality for Intelligent Video Systems

Montes-Martínez,

Jiménez-Hernández,

Herrera-Navarro

et al. 2023

ASI

View full text Add to dashboard Cite

Artificial vision system applications have generated significant interest as they allow information to be obtained through one or several of the cameras that can be found in daily life in many places, such as parks, avenues, squares, houses, etc. When the aim is to obtain information from large areas, it can become complicated if it is necessary to track an object of interest, such as people or vehicles, due to the vision space that a single camera can cover; this opens the way to distributed zone monitoring systems made up of a set of cameras that aim to cover a larger area. Distributed zone monitoring systems add great versatility, becoming more complex in terms of the complexity of information analysis, communication, interoperability, and heterogeneity in the interpretation of information. In the literature, the development of distributed schemes has focused on representing data communication and sharing challenges. Currently, there are no specific criteria for information exchange and analysis in a distributed system; hence, different models and architectures have been proposed. In this work, the authors present a framework to provide homogeneity in a distributed monitoring system. The information is obtained from different cameras, where a global reference system is defined for generated trajectories, which are mapped independently of the model used to obtain the dynamics of the movement of people within the vision area of a distributed system, thus allowing for its use in works where there is a large amount of information from heterogeneous sources. Furthermore, we propose a novel similarity metric that allows for information queries from heterogeneous sources. Finally, to evaluate the proposed performance, the authors developed several distributed query applications in an augmented reality system based on realistic environments and historical data retrieval using a client–server model.

show abstract