automatic prosodic event detection

... motion patterns from the tracks, and eventually (iii) detection of events using motion patterns information 2.1 Object Detection and Tracking Many object detection and tracking approaches have ... effectiveness 5 Event Detection in Crowd Scenes Our proposed method for event detection is based on the analysis of groups of people rather than individual persons The targeted events occurring ... many situations, such as event detection, traffic and people-flow estimation, and motion pattern extraction In this paper we will focus on motion pattern extraction and event detection applications

Ngày tải lên: 21/06/2014, 20:20

... approach to change-point, i.e event, detection that generalizes previous approaches, l developing algorithms for both the batch and incre- mental versions of the change point detection prob- lem, l ... comparing the algorithms with visual change- point detection by humans This paper is organized as follows: In section 2 we formally describe the event detection problem Section 3 presents the batch ... the threshold such that event reporting is accurate becomes very difficult Thus, a more systematic approach is required for processing the raw sensor data to generate an event sequence This is

Ngày tải lên: 16/03/2014, 19:20

... approach KEYWORDS Wireless sensor networks, Composite event detection, Fuzzy event detection (FED), Heterogeneity, Uncertainty Event detection is a popular service in environmental monitoring ... specified simple events by the application Although submittingthe fuzzy value of the detected simple event is adequate for applications that only need simple event detection,composite event detection ... activities, which are simple event detection, composite event detection , and event stream maintenance Ordinary sensor nodes are responsible for detecting simple events The activity starts when

Ngày tải lên: 30/03/2014, 16:20

... Trang 1REED: Robust, Efficient Filtering and Event Detection in Sensor Networks Daniel J Abadi, Samuel Madden, and Wolfgang Lindner MIT CSAIL {dna, ... are tolerant to dropped packets and node failures REED is thus suitable for a wide range of event-detection applications that tra-ditional sensor network database and data collection systems ... cannot be used to implement 1 Introduction A widely cited application of sensor networks is event-detection, where a large network of nodes is used to iden-tify regions or resources that are

Ngày tải lên: 30/03/2014, 16:20

... used to detect an event, as described in the next section In order for event detection and location estimation, we use probabilistic models In this section, we first describe event detection from ... estimation of a target event 3.1 Temporal Model Each tweet has its post time When a target event oc-curs, how can the sensors detect the event? We describe the temporal model of event detection First, ... Y Raimond and S Abdallah The event ontology, 2007 http://motools.sf.net/event/event.html [22] T Rattenbury, N Good, and M Naaman Towards automatic extraction of event and place semantics from

Ngày tải lên: 30/03/2014, 16:20

... Trang 1Volume 2008, Article ID 480786, 10 pagesdoi:10.1155/2008/480786 Research Article Automatic Music Boundary Detection Using Short Segmental Acoustic Similarity in a Music Piece Yoshiaki Itoh, ... proposed method is evaluated for music boundary detection using actual music datasets The present paper demonstrates that the proposed method enables accurate detection of music boundaries for both the ... between music pieces, and other users want to view the speech conversational sections Therefore, automatic detection of music boundaries between music pieces, or between a music piece and a speech section,

Ngày tải lên: 22/06/2014, 00:20

... targeted applications are automatic event detection and abnormal event detection Thus, an alarm would be raised in case of abnormal activity, for example, like subject falling down Event is a high-level ... especially for surveillance and complex event detection Complex vision tasks such as event detection in a surveillance video can be divided into subtasks such as human detection, tracking, recognition, ... in this framework 7 APPLICATION: EVENT DETECTION BASED ON SINGLE TARGET The ultimate goal for automated video surveillance is to be able to do automatic event detection in video With trajectory

Ngày tải lên: 22/06/2014, 19:20

... the system 5.1 Event detection For evaluating automatic event detection, each of the videos was manually annotated and the start and end times of each dialogue, exciting and montage event were noted ... detect exciting events by locating high-tempo musical sequences This is detailed further along with montage event detection in the following section Trang 104.2.3 Montage eventsEmotional events usually ... as a hybrid event The work of [19] aims to detect both dialogue and ac-tion events in a movie, but the same approach is used to de-tect both types of events, and the type of action events that

Ngày tải lên: 22/06/2014, 19:20

... 121 5.5.2 Evaluation of Event Detection 124 iii Trang 7Event detection in team sports video is a challenging semantic analysis problem.The majority of research on event detection has been focusing ... the motivation for event detection insports video Generally, an event is something that happens (source: Merriam-Webster nary) In analysis of team sports video, event and event detection are defined ... asfollows dictio-Definition 1 Event An event is something that happens and has some significance according to the rules of the game. Definition 2 Event detection Event detection is the effort to

Ngày tải lên: 12/09/2015, 08:19

... 50 Chapter 6 Event Detection 52 6.1 Grammar-Based Event Detector 52 6.1.1 Visual Keyword Definition 53 6.1.2 Event Detection Rules 54 6.1.3 Event Parser 55 6.1.4 Event Detection Grammar ... corner-kick detection 57 Table 6-3 Grammar for goal detection 58 Table 6-4 Result for corner-kick detection 60 Table 6-5 Result for goal detection 60 Table 6-6 Result for goal detection (T ... and to detect useful events from sports video Both audio and visual low-level features are used in our system to facilitate event detection Instead of modeling the high-level events directly on

Ngày tải lên: 05/10/2015, 22:04

... together with their event labels, serve as the train-ing data for CRF • Apnea events detection A CRF model is trained to detect apnea events for OSAdiagnosis Trang 24apnea events detectionsegmentation ... which isdefined as the number of respiratory events per sleeping hour Respiratory events con-sist of two types: apnea event and hypopnea event Apnea event refers to the completecessation of nasal ... studies delved into respiratory event detection We are thusmotivated to develop a system that performs better on OSA diagnosis by the automaticdetection of respiratory events.Home screening of OSA

Ngày tải lên: 27/11/2015, 11:25

... nhanh chóng.The article "Abnormal Event Detection in Intelligent Transportation Systems" introduces a novel approach for describing and retrieving long video events, significantly enhancing the ... nhiệm pháp lý trong các vụ tai nạn giao thông."Intelligent Video Analysis Method for Abnormal Event Detection in Intelligent Transportation Systems" is an effective tool for achieving enhanced ... of intelligence within Intelligent Transportation Systems (ITS) By accurately detecting abnormal events through advanced video analysis, the method contributes to more efficient traffic management

Ngày tải lên: 27/01/2023, 17:04

... IME -W ITHIN T ME March Figure 1: The partial event template for the Attack event (left), and the correct event template annotation for the example event span given in Sec 1 (right) We primarily ... ap-proaches. 1 Introduction Automatic template-filling-based event extraction is an important and challenging task Consider the fol-lowing text span that describes an “Attack” event: North Korea’s ... itself free of nuclear weapons A partial event template for the “Attack” event is shown on the left of Figure 1 Each row shows an argument for the event, together with a set of its ac-ceptable

Ngày tải lên: 30/03/2014, 17:20

... Trang 1Elliphant: Improved Automatic Detection of Zero Subjects and Impersonal Constructions in Spanish Luz Rello∗ NLP and Web Research ... work is the first such study In this paper we present a corpus to under-pin research on the automatic detection of these linguistic phenomena in Spanish and a novel machine learning-based methodol-ogy ... linguistics and natural language processing, pages 599–629 Wiley Black-well, Oxford. C M¨uller 2006 Automatic detection of nonrefer-ential it in spoken multi-party dialog In Proceed-ings of the 11th

Ngày tải lên: 31/03/2014, 21:20

... aspiration detection [32], at the bedside [25] and outside of the insti-tutional setting As an important step towards addressing this unmet need, we present details of a classifier for automatic detection ... caregivers of adverse events and potentially reduce the morbidity and anxiety of the feeding experience for the child and caregiver, respectively This paper proposes a classifier for automatic classification ... social, emo-tional and psychosocial well-being Current aspiration detection methodologies Only the most prevalent methods of aspiration detection in the current literature are reviewed The modified

Ngày tải lên: 19/06/2014, 10:20

... work is properly cited This paper presents a study of automatic detection and recognition of tonal bird sounds in noisy environments The detection of spectro-temporal regions containing bird ... is to investigate automatic detection and recognition of bird sounds in noisy environments We focus on tonal bird sounds as many of the bird sounds are of a tonal character The detection of spectro-temporal ... conclusions 2 Detection of Bird Sounds in Noise This section presents a method for the detection of tonal regions of bird sounds at the spectral-level and frame-level The method is based on the detection

Ngày tải lên: 21/06/2014, 05:20

... visual abilities The steps required for successful implementation of an automatic target recognition (ATR) task involves automatic detection, classification, and tracking of a target located in an ... pixel-based data fusion is proposed for boundary detection [36] Huntsberger and Jawerth proposed wavelet-based techniques for automatic target detection and recogni-tion and for acoustic and nonacoustic ... di-rection 5 TARGET DETECTION SYSTEM The steps involved in the target detection process is shown in Figure 4 Here, the input images of sizeN × N are considered The target detection is carried

Ngày tải lên: 23/06/2014, 01:20

... classifier for malware detection: We propose ANN classifier as detection module to identify mal-ware Different from the traditional k-nearest-neighbor method, ANN chooses k automatically during ... comparison of detection rate and accuracy with different number ofmalicious sequential patterns. Table 9 The comparison of malware categorization results of different detection systems. Detection ... solution for malware detection 8 Conclusion and future work In this paper, we develop a data-mining-based detection frame-work called Malicious Sequential Pattern based Malware Detection (MSPMD),

Ngày tải lên: 27/03/2017, 21:27

... Thi Thao RESEARCH AND DEVELOPMENT OF SPECT AND SPECT/CT IMAGES SEGMENTATION SOFTWARE FOR AUTOMATIC DETECTION AND EXTRACTION OF BRAIN TUMORS USING ITK, VTK, QT MASTER THESIS: ATOMIC AND NUCLEAR ... poor detection of significant areas with low contrast boundaries that commonly results in MRI brain images M.C Jobin Christ and R.M.S Parvathi [5] have introduced the method of the brain tumor detection ... author describes a new method which combines four different steps including smoothing, Sobel edge detection, connected component and finally region growing algorithms for locating and extracting

Ngày tải lên: 11/06/2019, 07:25

... system consists of four phases: Attack prevention, Attack de-tection and characterization, Traceback and Attack reaction [4] This work fo-cuses on attack detection, that identifying the attacks ... the ability to adapt to change of DDoS attacks automatically is still challenging so far This paper proposes a deep learning-based model for DDoS detection that selects the features auto-matically ... making machine learning models easy to detect Experiment of Automatic Feature Selection: In this experiment, to an-alyze the efficiency of automatic feature selection module, we re-executed our model

Ngày tải lên: 24/03/2022, 10:00