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You searched for subject:(Video based Monitoring). Showing records 1 – 3 of 3 total matches.

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University of Illinois – Urbana-Champaign

1. Liu, Kaijian. Crowdsourcing construction activity analysis from jobsite video streams.

Degree: MS, 0106, 2014, University of Illinois – Urbana-Champaign

The advent of affordable cameras is reshaping the way owners and contractors are documenting ongoing construction operations by providing large amount of jobsite video streams for assessing on-site activities. To facilitate assessing these large collections of videos, recent studies have focused on leveraging computer vision algorithms for construction activity analysis and automatic workface assessment process. Despite promising results, understanding human activities from videos are still rather limited. The main gaps in knowledge are: 1) the lack of comprehensive datasets with groundtruth to cover all construction activities, and 2) methods that can deal with high degree of intra-class variability among activities and visual feature similarities among non-direct works. To address the need of reliable workface assessment, and to facilitate the development of computer vision algorithms for automatic activity analysis, this thesis proposes conducting video-based workface assessment in form of a crowdsourcing task at massive marketplace, such as Amazon Mechanical Turk (AMT). The presented method can attract hundreds of human annotators from around the world in seconds to use the compositional structure of worker-activity-posture-tool to analyze videos. Today, the human ability to interpret video content outperforms current vision-based algorithms. Thus, it is hypothesized that with the assistance from crowd intelligence (non-experts) and automatic detection and tracking algorithms, reliable workface assessment results can be quickly collected from jobsite video streams. To validate this hypothesis, a web-based workface assessment tool is developed that supports 1) crowdsourcing of video-based activity analysis tasks at AMT by calling for human annotators’ intelligence to interpret a sparse set of keyframes; 2) a detection and a tracking algorithm to automatically generate workface assessment results for the rest of non-key frames based on the sparse set of user-assisted key frames; and 3) intuitive interfaces for 2D construction resources localization, presentation of compositional structure taxonomy of construction worker activities, visualization of activity analysis results, and quality control strategies. Six different exhaustive experiments are conducted to examine different annotation methods and frequencies, different video lengths to construct HITs (Human Intelligence Tasks), difference between expert and non-expert annotators, difference between linear and detection-based extrapolation methods, and optimal cross-validation strategy to improve workface assessment’s accuracy. The experimental results are presented and discussed by annotation time and accuracy at each level of compositional structure. Our experiments with overall accuracy of 85% for non-expert annotators testify that the quality of work by non-experts annotators at AMT is as reliable as experts on providing accurate and complete workforce assessment. The introduced method has potential to minimize time needed for workface assessment and allows… Advisors/Committee Members: Golparvar-Fard, Mani (advisor).

Subjects/Keywords: Construction Productivity; Activity Analysis; Workface Assessment; Video-based Monitoring; Crowdsourcing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, K. (2014). Crowdsourcing construction activity analysis from jobsite video streams. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50402

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Kaijian. “Crowdsourcing construction activity analysis from jobsite video streams.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed June 15, 2019. http://hdl.handle.net/2142/50402.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Kaijian. “Crowdsourcing construction activity analysis from jobsite video streams.” 2014. Web. 15 Jun 2019.

Vancouver:

Liu K. Crowdsourcing construction activity analysis from jobsite video streams. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jun 15]. Available from: http://hdl.handle.net/2142/50402.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu K. Crowdsourcing construction activity analysis from jobsite video streams. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50402

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


North-West University

2. Moolman, Ruan. Development of a technique to identify advertisements in a video signal / Ruan Moolman .

Degree: 2012, North-West University

In recent years Content Based Information Retrieval (CBIR) has received a lot of research attention, starting with audio, followed by images and video. Video ngerprinting is a CBIR technique that creates a digital descriptor, also known as a ngerprint, for videos based on its content. These ngerprints are then saved to a database and used to detect unknown videos by comparing the unknown video's ngerprint to the ngerprints in the database to get a match. Many techniques have already been proposed with various levels of success, but most of the existing techniques focus mainly on robustness and neglect the speed of implementation. In this dissertation a novel video ngerprinting technique will be developed with the main focus on detecting advertisements in a television broadcast. Therefore the system must be able to process the incoming video stream in real-time and detect all the advertisements that are present. Even though the algorithm has to be fast, it still has to be robust enough to handle a moderate amount of distortions. These days video ngerprinting still holds many challenges as it involves characterizing videos, made up of sequences of images, e ectively. This means the algorithm must somehow imitate the inherent ability of humans to recognize a video almost instantly. The technique uses the content of the video to derive a ngerprint, thus the features used by the ngerprinting algorithm should be robust to distortions that don't a ect content according to humans.

Subjects/Keywords: Video ngerprinting; Advertisement tracking; Broadcast monitoring; Copy detection; Automatic video recognition; Perceptual frame hashing; Content-based video identifi cation; Robust matching

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Moolman, R. (2012). Development of a technique to identify advertisements in a video signal / Ruan Moolman . (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/9525

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Moolman, Ruan. “Development of a technique to identify advertisements in a video signal / Ruan Moolman .” 2012. Thesis, North-West University. Accessed June 15, 2019. http://hdl.handle.net/10394/9525.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Moolman, Ruan. “Development of a technique to identify advertisements in a video signal / Ruan Moolman .” 2012. Web. 15 Jun 2019.

Vancouver:

Moolman R. Development of a technique to identify advertisements in a video signal / Ruan Moolman . [Internet] [Thesis]. North-West University; 2012. [cited 2019 Jun 15]. Available from: http://hdl.handle.net/10394/9525.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Moolman R. Development of a technique to identify advertisements in a video signal / Ruan Moolman . [Thesis]. North-West University; 2012. Available from: http://hdl.handle.net/10394/9525

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Ortman, Mary Elizabeth. The Effect of a Social Skills Package on Initiations, Responses, and Turn-Taking in Young Children with Autism.

Degree: MSin Education in Special Education, Counseling, Leadership, and Special Education, 2015, Missouri State University

The current study was completed in the Spring of 2015 in an elementary special education classroom. This single-subject ABAB withdrawal design utilized a social skills curriculum, self-monitoring, and video-modeling to increase the initiations, responses, turns-taken, and total duration involved in social play in two first grade males with autism. Limitations included time constraints and the setting of a busy classroom. During 15-minute data sessions, participant one's initiations increased from a mean frequency of 2 during A1 to 28 during B2, responses increased from a mean frequency of 3 to 26, turn-taking increased from a mean frequency of 10 to 29, and duration engaged in a social interaction increased from a mean of 4 minutes and 19 seconds to 14 minutes and 5 seconds. Participant two's initiations increased from a mean frequency of 4 to 24, responses increased from a mean frequency of 5 to 21, turn-taking increased from a mean frequency of 7 to 23, and duration increased from a mean of 3 minutes and 45 seconds to 14 minutes and 16 seconds. It is recommended that future research utilize parent-delivered social skills training programs, lower functioning participants, siblings as peer-trainers, generalization probes, and component analysis. Advisors/Committee Members: Linda Garrison-Kane.

Subjects/Keywords: autism spectrum disorder; evidence-based practices; social skills; video self-modeling; self-monitoring; token economy; Special Education and Teaching

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ortman, M. E. (2015). The Effect of a Social Skills Package on Initiations, Responses, and Turn-Taking in Young Children with Autism. (Masters Thesis). Missouri State University. Retrieved from https://bearworks.missouristate.edu/theses/1555

Chicago Manual of Style (16th Edition):

Ortman, Mary Elizabeth. “The Effect of a Social Skills Package on Initiations, Responses, and Turn-Taking in Young Children with Autism.” 2015. Masters Thesis, Missouri State University. Accessed June 15, 2019. https://bearworks.missouristate.edu/theses/1555.

MLA Handbook (7th Edition):

Ortman, Mary Elizabeth. “The Effect of a Social Skills Package on Initiations, Responses, and Turn-Taking in Young Children with Autism.” 2015. Web. 15 Jun 2019.

Vancouver:

Ortman ME. The Effect of a Social Skills Package on Initiations, Responses, and Turn-Taking in Young Children with Autism. [Internet] [Masters thesis]. Missouri State University; 2015. [cited 2019 Jun 15]. Available from: https://bearworks.missouristate.edu/theses/1555.

Council of Science Editors:

Ortman ME. The Effect of a Social Skills Package on Initiations, Responses, and Turn-Taking in Young Children with Autism. [Masters Thesis]. Missouri State University; 2015. Available from: https://bearworks.missouristate.edu/theses/1555

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