Body plans

Forsyth, David; Fleck, Margaret M.

doi:10.1109/cvpr.1997.609399

Cited by 103 publications

(59 citation statements)

References 12 publications

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“…"Stuff" properties and simple spatial information alone are not enough to identify objects; a zebra is fundamentally different from a striped awning, and shape is the defining feature that differentiates the two. While much work remains to be done in the field of shape description, some possibilities include perimeter-based descriptions such as Fourier descriptors [14] and boundary-based footprint matching [16], moment-based approaches [14], and body-plan recognition [8].…”

Section: Discussionmentioning

confidence: 99%

Region-based image querying

Carson

Belongie

Greenspan

et al. 1997

1997 Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries

198

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show abstract

Section: Discussionmentioning

confidence: 99%

Region-based image querying

Carson

Belongie

Greenspan

et al. 1997

1997 Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries

198

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“…This approach views semantic annotation as one multiclass problem rather than a set of binary one-versus-all problems. A comparative summary of alternative supervised one-versus-all [11] and unsupervised ( [12], [13]) models for image annotation is presented in [1].…”

Section: Related Workmentioning

confidence: 99%

Semantic Annotation and Retrieval of Music and Sound Effects

Turnbull

Barrington

Torres

et al. 2008

IEEE Trans. Audio Speech Lang. Process.

366

254

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Abstract-We present a computer audition system that can both annotate novel audio tracks with semantically meaningful words and retrieve relevant tracks from a database of unlabeled audio content given a text-based query. We consider the related tasks of content-based audio annotation and retrieval as one supervised multiclass, multilabel problem in which we model the joint probability of acoustic features and words. We collect a data set of 1700 human-generated annotations that describe 500 Western popular music tracks. For each word in a vocabulary, we use this data to train a Gaussian mixture model (GMM) over an audio feature space. We estimate the parameters of the model using the weighted mixture hierarchies expectation maximization algorithm. This algorithm is more scalable to large data sets and produces better density estimates than standard parameter estimation techniques. The quality of the music annotations produced by our system is comparable with the performance of humans on the same task. Our "query-by-text" system can retrieve appropriate songs for a large number of musically relevant words. We also show that our audition system is general by learning a model that can annotate and retrieve sound effects.Index Terms-Audio annotation and retrieval, music information retrieval, semantic music analysis.

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“…A number of attempts [4], [5] have been made towards 2D human pose estimation in still images and videos. Human pose estimation algorithms for both bottom-up [6], [7], [8] and top-down approaches [9] [10] have been proposed.…”

Section: Background and Related Workmentioning

confidence: 99%

Autonomous UAV for Suspicious Action Detection using Pictorial Human Pose Estimation and Classiﬁcation

Penmetsa¹,

Minhuj²,

Singh

et al. 2014

ELCVIA

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Visual autonomous systems capable of monitoring crowded areas and alerting the authorities in occurrence of a suspicious action can play a vital role in controlling crime rate. Previous attempts have been made to monitor crime using posture recognition but nothing exclusive to investigating actions of people in large populated area has been cited. In order resolve this shortcoming, we propose an autonomous unmanned aerial vehicle (UAV) visual surveillance system that locates humans in image frames followed by pose estimation using weak constraints on position, appearance of body parts and image parsing. The estimated pose, represented as a pictorial structure, is flagged using the proposed Hough Orientation Calculator (HOC) on close resemblance with any pose in the suspicious action dataset. The robustness of the system is demonstrated on videos recorded using a UAV with no prior knowledge of background, lighting or location and scale of the human in the image. The system produces an accuracy of 71% and can also be applied on various other video sources such as CCTV camera.

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Body plans

Cited by 103 publications

References 12 publications

Region-based image querying

Region-based image querying

Semantic Annotation and Retrieval of Music and Sound Effects

Autonomous UAV for Suspicious Action Detection using Pictorial Human Pose Estimation and Classiﬁcation

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