Fast and robust algorithm of tracking multiple moving objects for intelligent video surveillance systems

Kim, Jongsun; Yeom, Dong Hae; Joo, Young Hoon

doi:10.1109/tce.2011.6018870

Cited by 103 publications

(46 citation statements)

References 13 publications

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“…En (Hall, 2005), se realiza una comparación interesante entre los distintos detectores, en donde se concluye que la combinación de los mismos puede ser muy útil para disminuir la tasa de falsos positivos sin comprometer el análisis en tiempo real. Más recientemente, en (Ojha, 2015) se revisan las estrategias generales para la clasificación y el seguimiento de personas en video y en (Kim, 2011) se plantea un método robusto en tiempo real, apto para el seguimiento de objetos a partir de predecir su velocidad y dirección. Además, en (Gómez-Conde, 2011) se describe un método denominado Motion Vector Flow Instance (MVFI), capaz de detectar actividades humanas complejas como "andar" o "hacer footing" en cámaras estáticas.…”

Section: Estado Del Arteunclassified

Plataforma abierta de gestión de cámaras IP y aplicaciones móviles para la seguridad civil ciudadana

D‘Amato

Dominguez

Perez

et al. 2016

RISTI

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Resumen: La inseguridad es un problema que afecta en mayor o menor medida a todas las ciudades del mundo. Las ciudades más informatizadas hacen uso de la video-vigilancia para combatirla, montando en muchos de los casos centros de monitoreo con cientos de cámaras. En su mayoría, estos centros cuentan con grupos de personas para realizar la tarea de observación, sin embargo, este método no es suficiente y los organismos públicos deben lidiar un reclamo social por mayor transparencia y eficiencia en el accionar ante un delito. En este contexto, es que surge el presente proyecto, una plataforma de administración de cámaras y sensores, para apoyar a la gestión integral de la seguridad. Esta plataforma complementa técnicas de análisis automatizado de video, junto con una API para registrar eventos de tipo alarmas o alertas por parte de la ciudadanía y permitir el acceso a otras entidades (policía, bomberos, organizaciones vecinales) a ciertos recursos (los videos). Toda la información se centraliza en un sistema georreferenciado, en una arquitectura abierta y escalable, organizado en diferentes capas de información, con un sistema de organización de roles de accesos. Se presenta una discusión de la estructura ideada, de los algoritmos utilizados para el seguimiento, problemas propios que se suceden en este tipo de sistemas y los resultados preliminares obtenidos.Palabras-clave: Seguridad, Survillance, Plataforma abierta, Gobierno Digital. Open platform managing IP cameras and mobile applications for civil securityAbstract: Insecurity is a problem affecting many cities in the world. Most developed cities are using video surveillance systems to fight crime, mounting huge monitoring centers with hundreds of cameras. Many of these centers have people observing cameras in order to detect suspicious situations. However, this is not enough and public governments must deal with a social demand for more transparency and efficiency in actions against crime. In this context, a camera and

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Section: Estado Del Arteunclassified

Plataforma abierta de gestión de cámaras IP y aplicaciones móviles para la seguridad civil ciudadana

D‘Amato

Dominguez

Perez

et al. 2016

RISTI

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“…In this study, a real-time intelligent surveillance system capable of analyzing and detecting alarm events was created [6]. Using a gray scale camera to get the input and applying some image processing operations, the desired data were acquired which can use by the system as data by identifying of interest, tracking the aforementioned objects, and analyzing their behavior.…”

Section: A Genetic Algorithm For Motion Detectionmentioning

confidence: 99%

“…Using a gray scale camera to get the input and applying some image processing operations, the desired data were acquired which can use by the system as data by identifying of interest, tracking the aforementioned objects, and analyzing their behavior. A technology for detecting and tracking objects has been presented in the research [6] that is consist of IP Camera and NVR. The proposed algorithm consists of two parts of detecting the moving objects and tracking them.…”

Section: A Genetic Algorithm For Motion Detectionmentioning

confidence: 99%

The Application of Genetic Algorithm in Motion Detection for Data Storage Optimization

Butil¹,

Magsisi²,

Pua³

et al. 2014

IJCCE

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Abstract-The study focuses on detecting motion and capable of emitting insignificant parts of video from the captured frames from IP Camera and enhancing available data storage. This study embarks a system that is capable of minimizing the video in terms of eliminating frames which can't be used or are any of value to maximize the data storage available. Using the experimental method of research, the researchers evaluated the system based on the result of the experiments with regards to the scope and limitation of the problem and they assessed the accuracy of the system as highly acceptable. Implementing genetic algorithm helps the system to accurately detect motion and therefore optimize the data storage.

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“…in another technique to identify the objects form frame to frame, blobsdetected by background model are labelled. [ 13] Blob direction and velocity are stored to predict next position of blobs. Euclidian distance detected in consecutive frames identifies the object in occlusion.…”

Section: Introductionmentioning

confidence: 99%

Object Tracking using Association Rule in Clutter Environment

Halkarnikar¹,

Talbar²,

Vasambekar³

2015

IJIRSET

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ABSTRACT:In multiple objects tracking it become difficult to track the objects when they get cluttered due to proximity of the object. Such a cluttered environment leads to misleading target tracking in video analysis. This becomes important when video system is employed for security purpose or behavior analysis of the object. The object get merged and split due to occlusion or obstacles in viewing angle of the camera. In this paper we present the novel algorithm to handle issue of split and merge of the objects. To increase the robustness, association rules for object tracking are proposed. The algorithm tracks number of objects by keeping record of the split and merge of these objects with each other. Association rules are developed to track the multiple objects from frame to frame. Due to association rule application processing time increases when objects are merged or split, otherwise time required is same as normal object detection condition. In order to save the memory requirement for association of objects from frame to frame, linked list structure is implemented, which will expand and collapse as number of objects changes in given video frame. Object descriptors are stored as one node of the linked list along with object ID and flags indicating split and merge of objects. This list is updated as the video frames progresses for tracking of the objects. Such a system shows good result while tracking the multiple objects in cluttered environment due to shadow or occlusion or overlapping with in a frame.

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Fast and robust algorithm of tracking multiple moving objects for intelligent video surveillance systems

Cited by 103 publications

References 13 publications

Plataforma abierta de gestión de cámaras IP y aplicaciones móviles para la seguridad civil ciudadana

Plataforma abierta de gestión de cámaras IP y aplicaciones móviles para la seguridad civil ciudadana

The Application of Genetic Algorithm in Motion Detection for Data Storage Optimization

Object Tracking using Association Rule in Clutter Environment

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