• Publications
  • Influence
Monocular Pedestrian Detection: Survey and Experiments
  • M. Enzweiler, D. Gavrila
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1 December 2009
TLDR
We evaluate a diverse set of state-of-the-art systems: wavelet-based AdaBoost cascade, HOG/linSVM, NN/LRF, and combined shape-texture detection. Expand
  • 1,174
  • 64
  • PDF
The Visual Analysis of Human Movement: A Survey
  • D. Gavrila
  • Computer Science
  • Comput. Vis. Image Underst.
  • 1999
TLDR
The ability to recognize humans and their activities by vision is key for a machine to interact intelligently and effortlessly with a human-inhabited environment. Expand
  • 2,185
  • 61
  • PDF
An Experimental Study on Pedestrian Classification
  • S. Munder, D. Gavrila
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1 November 2006
TLDR
This paper presents an in-depth experimental study on pedestrian classification; multiple feature-classifier combinations are examined with respect to their ROC performance and efficiency. Expand
  • 617
  • 54
  • PDF
3-D model-based tracking of humans in action: a multi-view approach
  • D. Gavrila, L. Davis
  • Computer Science
  • Proceedings CVPR IEEE Computer Society Conference…
  • 18 June 1996
TLDR
We present a vision system for the 3-D model-based tracking of unconstrained human movement. Expand
  • 819
  • 47
  • PDF
Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle
TLDR
This paper presents a multi-cue vision system for the real-time detection and tracking of pedestrians. Expand
  • 587
  • 35
  • PDF
Real-time object detection for "smart" vehicles
TLDR
This paper presents an efficient shape-based object detection method based on Distance Transforms and describes its use for real-time vision on-board vehicles. Expand
  • 758
  • 26
  • PDF
Pedestrian Detection from a Moving Vehicle
TLDR
This paper presents a prototype system for pedestrian detection on-board a moving vehicle. Expand
  • 504
  • 24
  • PDF
Multi-cue pedestrian classification with partial occlusion handling
TLDR
This paper presents a novel mixture-of-experts framework for pedestrian classification with partial occlusion handling. Expand
  • 248
  • 23
  • PDF
Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study
TLDR
In the context of intelligent vehicles, we perform a comparative study on recursive Bayesian filters for pedestrian path prediction at short time horizons (< 2s). Expand
  • 152
  • 22
  • PDF
Will the Pedestrian Cross? A Study on Pedestrian Path Prediction
TLDR
We present a study on pedestrian path prediction and action classification at short subsecond time intervals using stereo vision data obtained from a vehicle. Expand
  • 188
  • 17
  • PDF
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