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SDHA Contest
2D Box
Person
|Autonomous Driving
|...
许可协议: Unknown

Overview

The Semantic Description of Human Activities (SDHA) was a contest at ICPR 2010.The contest is composed of three different types of activity recognition challenges: High-level Human Interaction Recognition Challenge, Aerial View Activity Classification Challenge, and Wide-Area Activity Search and Recognition Challenge. The general idea behind three challenges is to test methodologies with realistic surveillance-type videos having multiple actors and pedestrians. The objective of the first challenge is to recognize high-level interactions between two humans, such as hand-shake and push. The goal of the second challenge is to recognize relatively simple one-person actions (e.g. bend and dig) taken from a low-resolution far-away camera. The third challenge is to monitor human activities with multiple cameras observing a wide area. The challenges will encourage researchers to test their state-of-the-art recognition systems on the three datasets with different characteristic, and motivate them to develop methodologies designed for complex scenarios in realistic environments.Interaction Challenge SampleAerial View Challenge SampleWide-Area Challenge Sample

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SDHA Contest
2D Box
Person | Autonomous Driving
许可协议: Unknown

Overview

The Semantic Description of Human Activities (SDHA) was a contest at ICPR 2010.The contest is composed of three different types of activity recognition challenges: High-level Human Interaction Recognition Challenge, Aerial View Activity Classification Challenge, and Wide-Area Activity Search and Recognition Challenge. The general idea behind three challenges is to test methodologies with realistic surveillance-type videos having multiple actors and pedestrians. The objective of the first challenge is to recognize high-level interactions between two humans, such as hand-shake and push. The goal of the second challenge is to recognize relatively simple one-person actions (e.g. bend and dig) taken from a low-resolution far-away camera. The third challenge is to monitor human activities with multiple cameras observing a wide area. The challenges will encourage researchers to test their state-of-the-art recognition systems on the three datasets with different characteristic, and motivate them to develop methodologies designed for complex scenarios in realistic environments.Interaction Challenge SampleAerial View Challenge SampleWide-Area Challenge Sample

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