Browsing by Author "Rodrigo, BKRP"

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  • Chathuramali, KGM; Ramasinghe, S; Rodrigo, BKRP [Conference-Abstract]
    Abnormal activity detection plays an important role in many areas such as surveillance, military installations, and sports. Existing abnormal activity detectors mostly rely on motion data obtained over a number of frames ...
  • Ramasinghe, S; Rodrigo, BKRP [Conference-Abstract]
    We investigate the problem of automatic action recognition and classification of videos. In this paper, we present a convolutional neural network architecture, which takes both motion and static information as inputs in ...
  • Jayamanne, DJ; Samarawickrama, J; Rodrigo, BKRP [Conference-Abstract]
    Grouping the detected feature points traditionally requires the storage of long corner tracks. The traditional method does not permit to arrive at a decision to cluster the feature points based on a frame by frame basis. ...
  • Ajanthan, T; Kamalaruban, P; Rodrigo, BKRP [Conference-Abstract]
    Typical Automatic Number Plate Recognition (ANPR) system uses high resolution cameras to acquire good quality images of the vehicles passing through. In these images, license plates are localized, characters are segmented, ...
  • Maldeniya, B; Nawarathna, D; Wijayasekara, K; Wijegoonasekara, T; Rodrigo, BKRP [Conference-Abstract]
    Abstract—In order to obtain depth perception in computer vision, it is needed to process pairs of stereo images. This process is computationally challenging to be carried out in real-time, because it requires the search ...
  • Mohideen, F; Rodrigo, BKRP [Conference-Abstract]
    Feature descriptors have enabled feature matching under varying imaging conditions, while mostly being backed by experimental evidence. In addition to imposing some re- strictions in imaging conditions needed to ensure ...
  • Jayamanne, DJ; Rodrigo, BKRP [Conference-Abstract]
    When establishing object correspondence across non-overlapping cameras, the existing methods combine separate likelihoods of appearance and kinematic features in a Bayesian framework, constructing a joint likelihood to ...
  • Hettiarachchi, AL; Thathsarani, HO; Wickramasinghe, PU; Wickramasuriya, DS; Rodrigo, BKRP [Conference-Abstract]
    Manual analysis of large volumes of video surveillance footage stemming from the widespread deployment of security cameras is error prone, expensive and time consuming. Despite the commercial availability of software for ...
  • Chathuramali, KGM; Rodrigo, BKRP [Conference-Abstract]
    Human activity recognition finds many applications in areas such as surveillance, and sports. Such a system classifies a spatio-temporal feature descriptor of a human figure in a video, based on training examples. However ...
  • Gamage, DS; Samarakoon, B; Dabarera, R; Handagala, SM; Rodrigo, BKRP [Conference-Abstract]
    In object tracking identifying the best feature which discriminates object and background improves the performance. Most of the existing methods do not consider the suitability of such features for the tracker. Here we ...
  • Samarawickrama, M; Pasqual, AA; Rodrigo, BKRP [Conference-Abstract]
    A single-chip FPGA implementation of a vision core is an efficient way to design fast and compact embedded vision systems from the PCB design level. The scope of the research is to design a novel FPGA-based parallel ...
  • Rodrigo, BKRP [SRC-Report]
    Real-time image processing demands much more processing power than a conventional processor can deliver. As a result hardware acceleration became necessary to augments processors with application-specific coprocessors. ...
  • Gunawardane, TSFW; Koggalage, R; Rodrigo, BKRP; Rajapakse, S [Conference-Abstract]
    Safety of critically ill patients in intensive care units is an important aspect of medical care. There are many factors contributing to shortcomings and errors in patient care in the intensive care setting, such as long ...
  • Ramasinghe, S; Chathuramali, KGM; Rodrigo, BKRP [Conference-Abstract]
    Automatic stroke recognition of badminton video footages plays an important role in the process of analyzing players and building up statistics. Yet recognizing activities from broadcast videos is a challenging task due ...
  • Rodrigo, BKRP; Zouqi, M; Chen, Z; Samarabandu, J [Article-Abstract]
    Robust feature tracking is a requirement for many computer vision tasks such as indoor robot navigation. However, indoor scenes are characterized by poorly localizable features. As a result, indoor feature tracking ...
  • Ganganath, N; Attanayake, G; Bandara, TY; Ilangakoon, P; Rodrigo, BKRP; Madanayake, A; Bruton, LT [Conference-Abstract]
    Real-time scanned-array direct-form-I hardware implementations of two-dimensional (2D) infinite impulse response (IIR) frequency-planar beam plane-wave (PW) filters have potentially wide applications in the directional ...
  • Senarathna, J; Rodrigo, BKRP [Conference-Abstract]
    In this paper, we address the problem of extracting objects in an image that conform to prior object shape knowledge. Major challenges include the judgment of scale and rotation parameters as well as tolerating occlusions ...
  • Kandasamy, K; Rodrigo, BKRP [Conference-Abstract]
    The bag of visual words model has seen immense success in addressing the problem of image classification. Algorithms using this model generate the codebook of visual words by vector quantizing the features (such as SIFT) ...
  • Dabarera, R; Rodrigo, BKRP [Conference-Abstract]
    In elephant management and conservation, it is vital to have non-invasive methods to track elephants. Image based recognition is a non-invasive mechanism for elephant tracking, albeit the inefficiency in manual method due ...