Recently, the upsurge in accidents is caused due to driver drowsiness arises lack of sleep, fatigue and other health factors. The leads mortality, loss properties serious conditions. Hence, it necessary prevent by drivers. At present, automated model effective for detection recognition. In this research paper, developed a MCNN (Multi-Scale Convolutional Neural Network) framework classification ...

The Informedia group participated in three tasks this year, including: Multimedia Event Detection (MED), Semantic Indexing (SIN) and Surveillance Event Detection. Generally, all of these tasks consist of three main steps: extracting feature, training detector and fusing. In the feature extraction part, we extracted a lot of low-level features, high-level features and text features. Especially, ...

Visual localization and mapping algorithms attempt to estimate, from images, geometrical models that explain ego motion the positions of objects in a real scene. The success these tasks depends directly on quality availability visual data, since information is recovered changes images. Keyframe selection commonly used approach reduce amount data be processed as well prevent useless or wrong con...

We report on our results in the TRECVID 2011 Multimedia Event Detection (MED) and Semantic Indexing (SIN) tasks. Generally, both of these tasks consist of three main steps: extracting features, training detectors and fusing. In the feature extraction part, we extracted many low-level features, high-level features and text features. We used the Spatial-Pyramid Matching technique to represent the...

In this paper, we present the methodology we submitted to the NIST TRECVID'2006 evaluation. We participated in the High-level Feature Extraction task. Our approach is based on the use of a Forest of Fuzzy Decision Trees through the Salammbô software. 1 Structured Abstract Summary Here we present the contribution of the University of Paris 6 at TRECVID 2006 [1]. It concerns only the High-Level F...

Context: When considering the use of Augmented Reality to provide navigation cues in a completely unknown environment, the content must be delivered into the environment with a repeatable level of accuracy such that the navigation cues can be understood and interpreted correctly by the user. Aims: This thesis aims to investigate whether a still image based reconstruction of an Augmented Reality...

We present a complete framework for animation of Reactive Virtual Humans that offers a mixed animation paradigm: control of different body parts switches between keyframe animation, procedural animation and physical simulation, depending on the requirements of the moment. This framework implements novel techniques to support real-time continuous interaction. It is demonstrated on our interactiv...

In this paper we describe our experiments in the automatic search task of TRECVid 2007. For this we have implemented a new video search technique based on SIFT features and manual annotation. We submitted two runs, one solely based on the SIFT features with keyframe matching and the other based on adapted SIFT features for video retrieval in addition to manually annotated data.